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UberNet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11957959_28openalex-snapshot
Image Parsing: Unifying Segmentation, Detection, and Recognition
inferredcites →https://doi.org/10.1007/978-3-319-10599-4_7openalex-snapshot
Facial Landmark Detection by Deep Multi-task Learning
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_31openalex-snapshot
Discriminatively Trained Dense Surface Normal Estimation
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-46448-0_8openalex-snapshot
Semantic Object Parsing with Graph LSTM
inferredcites →https://doi.org/10.1007/978-3-319-46466-4_3openalex-snapshot
DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model
inferredcites →https://doi.org/10.1007/978-3-319-46484-8_29openalex-snapshot
Stacked Hourglass Networks for Human Pose Estimation
inferredcites →https://doi.org/10.1007/978-3-642-33715-4_54openalex-snapshot
Indoor Segmentation and Support Inference from RGBD Images
inferredcites →https://doi.org/10.1007/978-3-642-33786-4_4openalex-snapshot
Learning-Based Symmetry Detection in Natural Images
inferredcites →https://doi.org/10.1007/s10994-007-5043-5openalex-snapshot
A notion of task relatedness yielding provable multiple-task learning guarantees
inferredcites →https://doi.org/10.1007/s11263-014-0733-5openalex-snapshot
The Pascal Visual Object Classes Challenge: A Retrospective
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1073/pnas.1611835114openalex-snapshot
Overcoming catastrophic forgetting in neural networks
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/cvpr.1997.609370openalex-snapshot
Global training of document processing systems using graph transformer networks
inferredcites →https://doi.org/10.1109/cvpr.2011.5995344openalex-snapshot
Global contrast based salient region detection
inferredcites →https://doi.org/10.1109/cvpr.2014.119openalex-snapshot
The Role of Context for Object Detection and Semantic Segmentation in the Wild
inferredcites →https://doi.org/10.1109/cvpr.2014.214openalex-snapshot
DeepPose: Human Pose Estimation via Deep Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2014.254openalex-snapshot
Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts
inferredcites →https://doi.org/10.1109/cvpr.2014.43openalex-snapshot
The Secrets of Salient Object Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2015.7298606openalex-snapshot
Saliency detection via Cellular Automata
inferredcites →https://doi.org/10.1109/cvpr.2015.7298636openalex-snapshot
Modeling local and global deformations in Deep Learning: Epitomic convolution, Multiple Instance Learning, and sliding window detection
inferredcites →https://doi.org/10.1109/cvpr.2015.7298642openalex-snapshot
Hypercolumns for object segmentation and fine-grained localization
inferredcites →https://doi.org/10.1109/cvpr.2015.7298652openalex-snapshot
Designing deep networks for surface normal estimation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298668openalex-snapshot
Is object localization for free? - Weakly-supervised learning with convolutional neural networks
inferredcites →https://doi.org/10.1109/cvpr.2015.7298731openalex-snapshot
Saliency detection by multi-context deep learning
inferredcites →https://doi.org/10.1109/cvpr.2015.7298938openalex-snapshot
Deep networks for saliency detection via local estimation and global search
inferredcites →https://doi.org/10.1109/cvpr.2015.7298948openalex-snapshot
MatchNet: Unifying feature and metric learning for patch-based matching
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot
Fully convolutional networks for semantic segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298970openalex-snapshot
Material recognition in the wild with the Materials in Context Database
inferredcites →https://doi.org/10.1109/cvpr.2015.7299024openalex-snapshot
DeepContour: A deep convolutional feature learned by positive-sharing loss for contour detection
inferredcites →https://doi.org/10.1109/cvpr.2015.7299067openalex-snapshot
DeepEdge: A multi-scale bifurcated deep network for top-down contour detection
inferredcites →https://doi.org/10.1109/cvpr.2015.7299184openalex-snapshot
Visual saliency based on multiscale deep features
inferredcites →https://doi.org/10.1109/cvpr.2015.7299188openalex-snapshot
Curriculum learning of multiple tasks
inferredcites →https://doi.org/10.1109/cvpr.2016.31openalex-snapshot
Object Skeleton Extraction in Natural Images by Fusing Scale-Associated Deep Side Outputs
inferredcites →https://doi.org/10.1109/cvpr.2016.314openalex-snapshot
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2016.343openalex-snapshot
Instance-Aware Semantic Segmentation via Multi-task Network Cascades
inferredcites →https://doi.org/10.1109/cvpr.2016.348openalex-snapshot
Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.396openalex-snapshot
Attention to Scale: Scale-Aware Semantic Image Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.411openalex-snapshot
Noisy Label Recovery for Shadow Detection in Unfamiliar Domains
inferredcites →https://doi.org/10.1109/cvpr.2016.433openalex-snapshot
Cross-Stitch Networks for Multi-task Learning
inferredcites →https://doi.org/10.1109/cvpr.2016.492openalex-snapshot
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform
inferredcites →https://doi.org/10.1109/cvpr.2016.58openalex-snapshot
Deep Contrast Learning for Salient Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2016.642openalex-snapshot
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.634openalex-snapshot
Aggregated Residual Transformations for Deep Neural Networks
inferredcites →https://doi.org/10.1109/iccv.2001.937655openalex-snapshot
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
inferredcites →https://doi.org/10.1109/iccv.2005.35openalex-snapshot
An expectation maximization approach to the synergy between image segmentation and object categorization
inferredcites →https://doi.org/10.1109/iccv.2011.6126343openalex-snapshot
Semantic contours from inverse detectors
inferredcites →https://doi.org/10.1109/iccv.2011.6126490openalex-snapshot
Object detection and segmentation from joint embedding of parts and pixels
inferredcites →https://doi.org/10.1109/iccv.2013.248openalex-snapshot
Salient Region Detection by UFO: Uniqueness, Focusness and Objectness
inferredcites →https://doi.org/10.1109/iccv.2015.129openalex-snapshot
Contextual Action Recognition with R* CNN
inferredcites →https://doi.org/10.1109/iccv.2015.164openalex-snapshot
Holistically-Nested Edge Detection
inferredcites →https://doi.org/10.1109/iccv.2015.178openalex-snapshot
Learning Deconvolution Network for Semantic Segmentation
inferredcites →https://doi.org/10.1109/iccv.2015.179openalex-snapshot
Conditional Random Fields as Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/iccv.2015.191openalex-snapshot
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
inferredcites →https://doi.org/10.1109/iccv.2015.22openalex-snapshot
Discriminative Learning of Deep Convolutional Feature Point Descriptors
inferredcites →https://doi.org/10.1109/iccv.2015.304openalex-snapshot
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture
inferredcites →https://doi.org/10.1109/iccv.2015.342openalex-snapshot
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression
inferredcites →https://doi.org/10.1109/iccv.2015.65openalex-snapshot
High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and Its Applications to High-Level Vision
inferredcites →https://doi.org/10.1109/tpami.2010.161openalex-snapshot
Contour Detection and Hierarchical Image Segmentation
inferredcites →https://doi.org/10.1109/tpami.2012.231openalex-snapshot
Learning Hierarchical Features for Scene Labeling
inferredcites →https://doi.org/10.1109/tpami.2014.2377715openalex-snapshot
Fast Edge Detection Using Structured Forests
inferredcites →https://doi.org/10.1109/tpami.2015.2439281openalex-snapshot
Image Super-Resolution Using Deep Convolutional Networks
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/tpami.2017.2699184openalex-snapshot
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
inferredcites →https://doi.org/10.1109/tpami.2017.2781233openalex-snapshot
HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
inferredcites →https://doi.org/10.48550/arxiv.1210.5644openalex-snapshot
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
inferredcites →https://doi.org/10.48550/arxiv.1312.6199openalex-snapshot
Intriguing properties of neural networks
inferredcites →https://doi.org/10.48550/arxiv.1407.1808openalex-snapshot
Simultaneous Detection and Segmentation
inferredcites →https://doi.org/10.48550/arxiv.1408.5093openalex-snapshot
Caffe: Convolutional Architecture for Fast Feature Embedding
inferredcites →https://doi.org/10.48550/arxiv.1412.5104openalex-snapshot
Locally Scale-Invariant Convolutional Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1412.7062openalex-snapshot
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
inferredcites →https://doi.org/10.48550/arxiv.1502.02734openalex-snapshot
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
inferredcites →https://doi.org/10.48550/arxiv.1504.01989openalex-snapshot
Pixel-wise Deep Learning for Contour Detection
inferredcites →https://doi.org/10.48550/arxiv.1504.03641openalex-snapshot
Learning to Compare Image Patches via Convolutional Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1504.06375openalex-snapshot
Holistically-Nested Edge Detection
inferredcites →https://doi.org/10.48550/arxiv.1504.06434openalex-snapshot
Situational Object Boundary Detection
inferredcites →https://doi.org/10.48550/arxiv.1505.01197openalex-snapshot
Contextual Action Recognition with R*CNN
inferredcites →https://doi.org/10.48550/arxiv.1505.02438openalex-snapshot
Deep Learning for Semantic Part Segmentation with High-Level Guidance
inferredcites →https://doi.org/10.48550/arxiv.1506.02897openalex-snapshot
Flowing ConvNets for Human Pose Estimation in Videos
inferredcites →https://doi.org/10.48550/arxiv.1506.04579openalex-snapshot
ParseNet: Looking Wider to See Better
inferredcites →https://doi.org/10.48550/arxiv.1511.04377openalex-snapshot
Learning Dense Convolutional Embeddings for Semantic Segmentation
inferredcites →https://doi.org/10.48550/arxiv.1603.01976openalex-snapshot
Deep Contrast Learning for Salient Object Detection
inferredcites →https://doi.org/10.48550/arxiv.1603.06668openalex-snapshot
Learning Representations for Automatic Colorization
inferredcites →https://doi.org/10.48550/arxiv.1603.09114openalex-snapshot
LIFT: Learned Invariant Feature Transform
inferredcites →https://doi.org/10.48550/arxiv.1604.06174openalex-snapshot
Training Deep Nets with Sublinear Memory Cost
inferredcites →https://doi.org/10.48550/arxiv.1605.06409openalex-snapshot
R-FCN: Object Detection via Region-based Fully Convolutional Networks
inferredcites →https://doi.org/10.57702/o9raffedopenalex-snapshot
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Bmt-Enas: Branched Multi-Task Evolutionary Neural Architecture Search
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Improved Semantic Segmentation of High‐Resolution Remote Sensing Data: Utilizing a Novel Enhanced Boundary‐Aware Network for Efficient Processing
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Segmentation of carotid artery vessel wall and diagnosis of carotid atherosclerosis on black blood magnetic resonance imaging with multi‐task learning
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Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images
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Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
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Unified Perceptual Parsing for Scene Understanding
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Predicting Future Instance Segmentation by Forecasting Convolutional Features
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A Modulation Module for Multi-task Learning with Applications in Image Retrieval
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Semi-convolutional Operators for Instance Segmentation
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Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation
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Dynamic Task Prioritization for Multitask Learning
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Convolutional Networks for Object Category and 3D Pose Estimation from 2D Images
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3D Pick & Mix: Object Part Blending in Joint Shape and Image Manifolds
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Visual Person Understanding Through Multi-task and Multi-dataset Learning
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DasNet: Dynamic Adaptive Structure for Accelerating Multi-task Convolutional Neural Network
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Continual Learning of Image Translation Networks Using Task-Dependent Weight Selection Masks
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Meta Learning and the AI Learning Process
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Improving Semantic Segmentation via Decoupled Body and Edge Supervision
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Multitask Learning Strengthens Adversarial Robustness
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MTI-Net: Multi-scale Task Interaction Networks for Multi-task Learning
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Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference
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When Does Self-supervision Improve Few-Shot Learning?
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Meta Learning and the AI Learning Process
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Knowledge Distillation for Multi-task Learning
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Predicting Camera Viewpoint Improves Cross-Dataset Generalization for 3D Human Pose Estimation
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Training of Multiple and Mixed Tasks with a Single Network Using Feature Modulation
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Multi-task Learning with Riemannian Optimization
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Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy
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Multi-task Perceptual Occlusion Face Detection with Semantic Attention Network
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Evolving Deep Parallel Neural Networks for Multi-Task Learning
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Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
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Human-Centric Intelligent Driving: Collaborating with the Driver to Improve Safety
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Multi-task Video Enhancement for Dental Interventions
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Joint Paraspinal Muscle Segmentation and Inter-rater Labeling Variability Prediction with Multi-task TransUNet
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Optimizing Edge Detection for Image Segmentation with Multicut Penalties
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U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search
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MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning
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MultiMAE: Multi-modal Multi-task Masked Autoencoders
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The Missing Link: Finding Label Relations Across Datasets
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Translation Rate Prediction and Regulatory Motif Discovery with Multi-task Learning
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Multi-scale Field Distillation for Multi-task Semantic Segmentation
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Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation
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GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity
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CerberusDet: Unified Multi-dataset Object Detection
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Cross-Cascading Regression for Simultaneous Head Pose Estimation and Facial Landmark Detection
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KannadaRes-NeXt: A Deep Residual Network for Kannada Numeral Recognition
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Machination of Human Carpus
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Neural Network-Based Activity Recognition System
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A Task-Aware Network for Multi-task Learning
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CoGPSL: Collaborative Pareto Front Shape-Agnostic Pareto Set Learning for Multitasking Multi-objective Optimization
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Multi-task Perception for Autonomous Driving
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Analysis of Various Video-Based Human Action Recognition Techniques Using Deep Learning Techniques
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Improving Unmanned Panoramic Perception Algorithm of DAFPN-YOLO
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Robust Environmental Perception of Multi-object Tracking
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A Novel Iterative Fusion Multi-task Learning Framework for Solving Dense Prediction
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MEDIC: a multi-task learning dataset for disaster image classification
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Cross-dataset face analysis based on multi-task learning
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A multi-task effectiveness metric and an adaptive co-training method for enhancing learning performance with few samples
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Cross-Modal Pyramid Translation for RGB-D Scene Recognition
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A Dynamic Feature Interaction Framework for Multi-task Visual Perception
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Universal Representations: A Unified Look at Multiple Task and Domain Learning
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Integrating fine-grained attention into multi-task learning for knowledge tracing
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CGNet: cross-guidance network for semantic segmentation
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Task-aware asynchronous multi-task model with class incremental contrastive learning for surgical scene understanding
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MMA-Net: a multimodal multitask network utilizing dual attention mechanisms for enhanced modality fusion and task exchange in cognitive load assessment
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RPGT: a retrospective prompt-guided parameter tuning method for knowledge transfer of contrastive self-supervised vision model
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Multi-task federated learning with encoder–decoder structure: enabling collaborative learning across different tasks
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Convolution neural network model with improved pooling strategy and feature selection for weld defect recognition
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Class Representative Learning for Zero-shot Learning Using Purely Visual Data
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Artificial intelligence and the interplay between tumor and immunity
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Artificial intelligence and the interplay between cancer and immunity
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Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images
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Automatic classification of thyroid nodules in ultrasound images using a multi-task attention network guided by clinical knowledge
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Transformer-based multi-task learning for classification and segmentation of gastrointestinal tract endoscopic images
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Visual pathways from the perspective of cost functions and multi-task deep neural networks
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FCSCNN: Feature centralized Siamese CNN-based android malware identification
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MATTE: Multi-task multi-scale attention
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Semantic-aware Transformer for shadow detection
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Regional wind-photovoltaic combined power generation forecasting based on a novel multi-task learning framework and TPA-LSTM
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Joint image enhancement learning for marine object detection in natural scene
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A scalable framework for efficient multi-task learning via task-adaptive feature fusion
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A CNN-based multi-task framework for weather recognition with multi-scale weather cues
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.126159openalex-snapshot
EK-Net++: Real-time scene text detection with expand kernel distance and Epoch Adaptive Weight
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Learning visual variation for object recognition
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Collaborative learning network for head pose estimation
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Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2022.11.014openalex-snapshot
Height aware understanding of remote sensing images based on cross-task interaction
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Network scaling and scale-driven loss balancing for intelligent characterization of poroelastic systems
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Multi-triage: A multi-task learning framework for bug triage
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A simple transformer-based baseline for crowd tracking with Sequential Feature Aggregation and Hybrid Group Training
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.106843openalex-snapshot
Information aggregation and fusion in deep neural networks for object interaction exploration for semantic segmentation
inferred← citeshttps://doi.org/10.1016/j.measurement.2024.114256openalex-snapshot
A multi-task learning-based approach for single-projection HDR 3D reconstruction
inferred← citeshttps://doi.org/10.1016/j.media.2017.07.002openalex-snapshot
SpineNet: Automated classification and evidence visualization in spinal MRIs
inferred← citeshttps://doi.org/10.1016/j.media.2025.103480openalex-snapshot
Multitask learning in minimally invasive surgical vision: A review
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Surgical instrument-tissue characterization via multi-task self-supervised instrument segmentation and motion estimation
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MMCL-Net: Spinal disease diagnosis in global mode using progressive multi-task joint learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.10.082openalex-snapshot
GEME: Dual-stream multi-task GEnder-based micro-expression recognition
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.02.050openalex-snapshot
Auto-VirtualNet: Cost-adaptive dynamic architecture search for multi-task learning
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Multitask learning with single gradient step update for task balancing
inferred← citeshttps://doi.org/10.1016/j.neucom.2022.02.079openalex-snapshot
An overview of edge and object contour detection
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128832openalex-snapshot
Mitigating gradient conflicts via expert squads in multi-task learning
inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106528openalex-snapshot
Multi-task neural networks by learned contextual inputs
inferred← citeshttps://doi.org/10.1016/j.optlastec.2022.108267openalex-snapshot
One-shot multi-object tracking using CNN-based networks with spatial-channel attention mechanism
inferred← citeshttps://doi.org/10.1016/j.patcog.2018.09.007openalex-snapshot
Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images
inferred← citeshttps://doi.org/10.1016/j.patcog.2021.107893openalex-snapshot
Residual multi-task learning for facial landmark localization and expression recognition
inferred← citeshttps://doi.org/10.1016/j.patcog.2021.108199openalex-snapshot
Context-aware co-supervision for accurate object detection
inferred← citeshttps://doi.org/10.1016/j.petrol.2021.109202openalex-snapshot
Multi-task learning for digital rock segmentation and characteristic parameters computation
inferred← citeshttps://doi.org/10.1016/j.snb.2024.136222openalex-snapshot
A mixed gas concentration regression prediction method based on RESHA-ALW
inferred← citeshttps://doi.org/10.1016/j.trc.2021.103259openalex-snapshot
Pedestrian intention prediction: A convolutional bottom-up multi-task approach
inferred← citeshttps://doi.org/10.1021/acsomega.4c10763openalex-snapshot
Attention-Enhanced Multi-Task Deep Learning Model for Classification and Segmentation of Esophageal Lesions
inferred← citeshttps://doi.org/10.1038/s41524-024-01493-2openalex-snapshot
DPA-2: a large atomic model as a multi-task learner
inferred← citeshttps://doi.org/10.1038/s41597-024-03788-xopenalex-snapshot
Quantum Chemistry Dataset with Ground- and Excited-state Properties of 450 Kilo Molecules
inferred← citeshttps://doi.org/10.1038/s41598-023-35938-3openalex-snapshot
Improve the performance of CT-based pneumonia classification via source data reweighting
inferred← citeshttps://doi.org/10.1038/s41598-025-97490-6openalex-snapshot
Real-time facial recognition via multitask learning on raspberry Pi
inferred← citeshttps://doi.org/10.1049/ipr2.12225openalex-snapshot
Pedestrian re‐identification based on attribute mining and reasoning
inferred← citeshttps://doi.org/10.1049/ipr2.12240openalex-snapshot
Part‐MOT: A multi‐object tracking method with instance part‐based embedding
inferred← citeshttps://doi.org/10.1049/joe.2019.1191openalex-snapshot
Scene recognition under special traffic conditions based on deep multi‐task learning
inferred← citeshttps://doi.org/10.1051/matecconf/201927702005openalex-snapshot
DNS: A multi-scale deconvolution semantic segmentation network for joint detection and segmentation
inferred← citeshttps://doi.org/10.1088/1741-2552/ae1164openalex-snapshot
Aligning machines and minds: neural encoding for high-level visual cortices based on image captioning task
inferred← citeshttps://doi.org/10.1088/1742-6596/2320/1/012031openalex-snapshot
Hybrid Model Compression for Multi-Task Network
inferred← citeshttps://doi.org/10.1101/2020.07.13.201673openalex-snapshot
Neural Network Poisson Models for Behavioural and Neural Spike Train Data
inferred← citeshttps://doi.org/10.1109/access.2019.2946681openalex-snapshot
Tonguenet: Accurate Localization and Segmentation for Tongue Images Using Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/access.2020.2968837openalex-snapshot
2M BeautyNet: Facial Beauty Prediction Based on Multi-Task Transfer Learning
inferred← citeshttps://doi.org/10.1109/access.2020.2975106openalex-snapshot
Joint Image and 3D Shape Part Representation in Large Collections for Object Blending
inferred← citeshttps://doi.org/10.1109/access.2020.3024658openalex-snapshot
A Viewpoint Aware Multi-Task Learning Framework for Fine-Grained Vehicle Recognition
inferred← citeshttps://doi.org/10.1109/access.2021.3065014openalex-snapshot
Learning to Detect Local Features Using Information Change
inferred← citeshttps://doi.org/10.1109/access.2021.3132225openalex-snapshot
Improving Object Detection Using Weakly-Annotated Auxiliary Multi-Label Segmentation
inferred← citeshttps://doi.org/10.1109/access.2022.3204276openalex-snapshot
Implement Improved Process Design Using a Lightweight Deep Learning Model to Reduce Hardware Computational Load in Instance Segmentation: Using Apple Dataset
inferred← citeshttps://doi.org/10.1109/access.2023.3266284openalex-snapshot
Joint Multiclass Object Detection and Semantic Segmentation for Autonomous Driving
inferred← citeshttps://doi.org/10.1109/access.2023.3310544openalex-snapshot
Reasoning in Different Directions: Triplet Learning for Scene Graph Generation
inferred← citeshttps://doi.org/10.1109/access.2023.3319072openalex-snapshot
Trainable Weights for Multitask Learning
inferred← citeshttps://doi.org/10.1109/access.2023.3339793openalex-snapshot
Task-Aware Dynamic Model Optimization for Multi-Task Learning
inferred← citeshttps://doi.org/10.1109/access.2024.3429281openalex-snapshot
Rethinking Resource Competition in Multi-Task Learning: From Shared Parameters to Shared Representation
inferred← citeshttps://doi.org/10.1109/access.2025.3542415openalex-snapshot
Task-Agnostic Adaptive Activation Scaling Network for LLMs
inferred← citeshttps://doi.org/10.1109/bigdata66926.2025.11401482openalex-snapshot
DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-Ray Classification
inferred← citeshttps://doi.org/10.1109/caibda65784.2025.11183475openalex-snapshot
ADEMT-NAS: Multi-Task Neural Architecture Search Based on Adaptive Differential Evolution
inferred← citeshttps://doi.org/10.1109/ccdc65474.2025.11090311openalex-snapshot
A Balanced Multi-Task Learning Method for Efficient Task Optimization*
inferred← citeshttps://doi.org/10.1109/cvidliccea56201.2022.9824515openalex-snapshot
An Improved Object Detection of Image Based on Multi-task Learning
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00055openalex-snapshot
Learning to Estimate 3D Human Pose and Shape from a Single Color Image
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00077openalex-snapshot
PAD-Net: Multi-tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00085openalex-snapshot
Dynamic-Structured Semantic Propagation Network
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00086openalex-snapshot
Cross-Domain Self-Supervised Multi-task Feature Learning Using Synthetic Imagery
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00100openalex-snapshot
Feedback-Prop: Convolutional Neural Network Inference Under Partial Evidence
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00391openalex-snapshot
Taskonomy: Disentangling Task Transfer Learning
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00539openalex-snapshot
2D/3D Pose Estimation and Action Recognition Using Multitask Deep Learning
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00659openalex-snapshot
SfSNet: Learning Shape, Reflectance and Illuminance of Faces 'in the Wild'
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00847openalex-snapshot
Efficient Parametrization of Multi-domain Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00169openalex-snapshot
Learning Attraction Field Representation for Robust Line Segment Detection
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00194openalex-snapshot
Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00195openalex-snapshot
Attentive Single-Tasking of Multiple Tasks
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00197openalex-snapshot
End-To-End Multi-Task Learning With Attention
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00298openalex-snapshot
Geometry-Aware Distillation for Indoor Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00332openalex-snapshot
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00418openalex-snapshot
Adversarial Structure Matching for Structured Prediction Tasks
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00423openalex-snapshot
Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00557openalex-snapshot
Efficient Multi-Domain Learning by Covariance Normalization
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00633openalex-snapshot
An End-To-End Network for Panoptic Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00656openalex-snapshot
Panoptic Feature Pyramid Networks
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00746openalex-snapshot
Towards Universal Object Detection by Domain Attention
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00757openalex-snapshot
Triply Supervised Decoder Networks for Joint Detection and Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr.2019.01004openalex-snapshot
SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception
inferred← citeshttps://doi.org/10.1109/cvpr.2019.01267openalex-snapshot
Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00388openalex-snapshot
MPM: Joint Representation of Motion and Position Map for Cell Tracking
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00503openalex-snapshot
Cross-Modal Deep Face Normals With Deactivable Skip Connections
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00627openalex-snapshot
LSM: Learning Subspace Minimization for Low-Level Vision
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01005openalex-snapshot
Multi-Task Collaborative Network for Joint Referring Expression Comprehension and Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01045openalex-snapshot
12-in-1: Multi-Task Vision and Language Representation Learning
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01061openalex-snapshot
Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01121openalex-snapshot
Robust Learning Through Cross-Task Consistency
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01156openalex-snapshot
MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01249openalex-snapshot
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01271openalex-snapshot
What Makes Training Multi-Modal Classification Networks Hard?
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00584openalex-snapshot
InverseForm: A Loss Function for Structured Boundary-Aware Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00859openalex-snapshot
Taskology: Utilizing Task Relations at Scale
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01131openalex-snapshot
Your “Flamingo” is My “Bird”: Fine-Grained, or Not
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01233openalex-snapshot
Panoptic Segmentation Forecasting
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01300openalex-snapshot
3D Spatial Recognition without Spatially Labeled 3D
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01545openalex-snapshot
Amalgamating Knowledge from Heterogeneous Graph Neural Networks
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01552openalex-snapshot
OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00412openalex-snapshot
Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00741openalex-snapshot
Task Adaptive Parameter Sharing for Multi-Task Learning
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01068openalex-snapshot
Controllable Dynamic Multi-Task Architectures
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01172openalex-snapshot
MuIT: An End-to-End Multitask Learning Transformer
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01563openalex-snapshot
Omnivore: A Single Model for Many Visual Modalities
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01958openalex-snapshot
EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00229openalex-snapshot
Egocentric Video Task Translation
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00358openalex-snapshot
SmartAssign:Learning A Smart Knowledge Assignment Strategy for Deraining and Desnowing
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00749openalex-snapshot
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00927openalex-snapshot
Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving
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