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Multi-task Self-Supervised Visual Learning
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-46448-0_48openalex-snapshot
Ambient Sound Provides Supervision for Visual Learning
inferredcites →https://doi.org/10.1007/978-3-319-46466-4_5openalex-snapshot
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
inferredcites →https://doi.org/10.1007/978-3-319-46475-6_1openalex-snapshot
The Curious Robot: Learning Visual Representations via Physical Interactions
inferredcites →https://doi.org/10.1007/978-3-319-46478-7_51openalex-snapshot
An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders
inferredcites →https://doi.org/10.1007/978-3-319-46493-0_38openalex-snapshot
Identity Mappings in Deep Residual Networks
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1109/3dv.2016.32openalex-snapshot
Deeper Depth Prediction with Fully Convolutional Residual Networks
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.2016.278openalex-snapshot
Context Encoders: Feature Learning by Inpainting
inferredcites →https://doi.org/10.1109/cvpr.2016.433openalex-snapshot
Cross-Stitch Networks for Multi-task Learning
inferredcites →https://doi.org/10.1109/cvpr.2017.579openalex-snapshot
UberNet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory
inferredcites →https://doi.org/10.1109/iccv.2013.441openalex-snapshot
Action Recognition with Improved Trajectories
inferredcites →https://doi.org/10.1109/iccv.2015.129openalex-snapshot
Contextual Action Recognition with R* CNN
inferredcites →https://doi.org/10.1109/iccv.2015.166openalex-snapshot
Learning Image Representations Tied to Ego-Motion
inferredcites →https://doi.org/10.1109/iccv.2015.167openalex-snapshot
Unsupervised Visual Representation Learning by Context Prediction
inferredcites →https://doi.org/10.1109/iccv.2015.281openalex-snapshot
Dense Optical Flow Prediction from a Static Image
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.2015.320openalex-snapshot
Unsupervised Learning of Visual Representations Using Videos
inferredcites →https://doi.org/10.1109/icra.2016.7487517openalex-snapshot
Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours
inferredcites →https://doi.org/10.1109/icra.2017.7989190openalex-snapshot
Supervision via competition: Robot adversaries for learning tasks
inferredcites →https://doi.org/10.1109/icra.2017.7989249openalex-snapshot
Learning to push by grasping: Using multiple tasks for effective learning
inferredcites →https://doi.org/10.1145/1553374.1553469openalex-snapshot
Deep learning from temporal coherence in video
inferredcites →https://doi.org/10.1162/089976602317318938openalex-snapshot
Slow Feature Analysis: Unsupervised Learning of Invariances
inferredcites →https://doi.org/10.1162/neco.1991.3.2.194openalex-snapshot
Learning Invariance from Transformation Sequences
inferredcites →https://doi.org/10.1609/aaai.v31i1.11231openalex-snapshot
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
inferredcites →https://doi.org/10.48550/arxiv.1106.5730openalex-snapshot
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
inferredcites →https://doi.org/10.48550/arxiv.1505.01197openalex-snapshot
Contextual Action Recognition with R*CNN
inferredcites →https://doi.org/10.48550/arxiv.1505.05192openalex-snapshot
Unsupervised Visual Representation Learning by Context Prediction
inferredcites →https://doi.org/10.48550/arxiv.1603.06668openalex-snapshot
Learning Representations for Automatic Colorization
inferredcites →https://doi.org/10.48550/arxiv.1606.07419openalex-snapshot
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
inferredcites →https://doi.org/10.48550/arxiv.1610.09001openalex-snapshot
SoundNet: Learning Sound Representations from Unlabeled Video
inferredcites →https://doi.org/10.48550/arxiv.1611.06430openalex-snapshot
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1611.06646openalex-snapshot
Self-Supervised Video Representation Learning With Odd-One-Out Networks
inferredcites →https://doi.org/10.48550/arxiv.1702.05800openalex-snapshot
Revisiting Distributed Synchronous SGD
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Multitask Learning Strengthens Adversarial Robustness
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Extending and Analyzing Self-supervised Learning Across Domains
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Self-supervised learning for medical image data with anatomy-oriented imaging planes
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A study of the generalizability of self-supervised representations
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An unsupervised deep learning technique for susceptibility artifact correction in reversed phase-encoding EPI images
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126736openalex-snapshot
Predicting cancer outcomes from whole slide images via hybrid supervision learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.129199openalex-snapshot
Self-supervised visual learning in the low-data regime: A comparative evaluation
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129750openalex-snapshot
Audio–visual self-supervised representation learning: A survey
inferred← citeshttps://doi.org/10.1016/j.neunet.2022.08.014openalex-snapshot
Self-supervised knowledge distillation for complementary label learning
inferred← citeshttps://doi.org/10.1016/j.neunet.2023.06.033openalex-snapshot
TCGAN: Convolutional Generative Adversarial Network for time series classification and clustering
inferred← citeshttps://doi.org/10.1016/j.optlastec.2024.110997openalex-snapshot
Multi-headed tandem neural network approach for non-uniqueness in inverse design of layered photonic structures
inferred← citeshttps://doi.org/10.1016/j.patcog.2021.107826openalex-snapshot
Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images
inferred← citeshttps://doi.org/10.1016/j.patcog.2021.107848openalex-snapshot
Multi-task contrastive learning for automatic CT and X-ray diagnosis of COVID-19
inferred← citeshttps://doi.org/10.1016/j.patcog.2021.108244openalex-snapshot
Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1016/j.patcog.2023.109832openalex-snapshot
Hyperspectral image destriping and denoising from a task decomposition view
inferred← citeshttps://doi.org/10.1021/acs.jcim.2c00495openalex-snapshot
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast
inferred← citeshttps://doi.org/10.1021/acs.jcim.4c01290openalex-snapshot
CL-GNN: Contrastive Learning and Graph Neural Network for Protein–Ligand Binding Affinity Prediction
inferred← citeshttps://doi.org/10.1021/acs.jpclett.4c00100openalex-snapshot
Physics-Guided Dual Self-Supervised Learning for Structure-Based Material Property Prediction
inferred← citeshttps://doi.org/10.1038/s41467-026-73627-7openalex-snapshot
Improving crystal material property prediction with multi-view geometric graph transformer
inferred← citeshttps://doi.org/10.1038/s41524-022-00889-2openalex-snapshot
Inferring topological transitions in pattern-forming processes with self-supervised learning
inferred← citeshttps://doi.org/10.1038/s41551-023-01049-7openalex-snapshot
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging
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/s41598-023-50639-7openalex-snapshot
Open set classification of sound event
inferred← citeshttps://doi.org/10.1038/s41598-025-23697-2openalex-snapshot
Improving surgical phase recognition using self-supervised deep learning
inferred← citeshttps://doi.org/10.1038/s42256-026-01216-wopenalex-snapshot
Molecular deep learning at the edge of chemical space
inferred← citeshttps://doi.org/10.1061/(asce)cp.1943-5487.0000883openalex-snapshot
Self-Supervised Structure Learning for Crack Detection Based on Cycle-Consistent Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1088/1748-0221/17/08/p08024openalex-snapshot
A method to challenge symmetries in data with self-supervised learning
inferred← citeshttps://doi.org/10.1088/2057-1976/adbb71openalex-snapshot
Exploring the application of deep learning methods for polygenic risk score estimation
inferred← citeshttps://doi.org/10.1088/2632-2153/aca23dopenalex-snapshot
Self-supervised learning of materials concepts from crystal structures via deep neural networks
inferred← citeshttps://doi.org/10.1101/2021.05.28.446118openalex-snapshot
Beyond category-supervision: instance-level contrastive learning models predict human visual system responses to objects
inferred← citeshttps://doi.org/10.1101/2022.11.09.515746openalex-snapshot
ConstrastivePose: A contrastive learning approach for self-supervised feature engineering for pose estimation and behavorial classification of interacting animals
inferred← citeshttps://doi.org/10.1101/2023.08.23.554486openalex-snapshot
Domain-PFP: Protein Function Prediction Using Function-Aware Domain Embedding Representations
inferred← citeshttps://doi.org/10.1109/access.2019.2943604openalex-snapshot
A Comparison of Loss Weighting Strategies for Multi task Learning in Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/access.2020.2982034openalex-snapshot
Multi-Adversarial Partial Transfer Learning With Object-Level Attention Mechanism for Unsupervised Remote Sensing Scene Classification
inferred← citeshttps://doi.org/10.1109/access.2020.3028185openalex-snapshot
On the Road With 16 Neurons: Towards Interpretable and Manipulable Latent Representations for Visual Predictions in Driving Scenarios
inferred← citeshttps://doi.org/10.1109/access.2020.3047467openalex-snapshot
Binary Clustering for Deep Network Trained by Feature Growth
inferred← citeshttps://doi.org/10.1109/access.2020.3047678openalex-snapshot
Temporal Pyramid Pooling for Decoding Motor-Imagery EEG Signals
inferred← citeshttps://doi.org/10.1109/access.2021.3058382openalex-snapshot
Many-to-Many Unsupervised Speech Conversion From Nonparallel Corpora
inferred← citeshttps://doi.org/10.1109/access.2021.3059620openalex-snapshot
Audio-Visual Self-Supervised Terrain Type Recognition for Ground Mobile Platforms
inferred← citeshttps://doi.org/10.1109/access.2021.3077886openalex-snapshot
Multimodal Chain: Cross-Modal Collaboration Through Listening, Speaking, and Visualizing
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.2025.3549277openalex-snapshot
A Unified Self-Supervised Learning Framework for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.1109/access.2026.3715655openalex-snapshot
From Convolution to Attention and Beyond: A Systematic Review of Modern Vision Architectures
inferred← citeshttps://doi.org/10.1109/aicas.2019.8771615openalex-snapshot
Multi-task ADAS system on FPGA
inferred← citeshttps://doi.org/10.1109/aiid51893.2021.9456562openalex-snapshot
A Novel Multi-Task Self-Supervised Representation Learning Paradigm
inferred← citeshttps://doi.org/10.1109/aisp61396.2024.10475203openalex-snapshot
Optimizing Monocular 3D Object Detection on KITTI: Harnessing Power of Right Images
inferred← citeshttps://doi.org/10.1109/bigdata59044.2023.10386622openalex-snapshot
Learning with Variational Objectives on Measures
inferred← citeshttps://doi.org/10.1109/cisai54367.2021.00018openalex-snapshot
A Multi-task Framework for Named Entity Recognition
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.2018.00173openalex-snapshot
Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00391openalex-snapshot
Taskonomy: Disentangling Task Transfer Learning
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00393openalex-snapshot
Unsupervised Feature Learning via Non-parametric Instance Discrimination
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00797openalex-snapshot
Mining on Manifolds: Metric Learning Without Labels
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00973openalex-snapshot
Improvements to Context Based Self-Supervised Learning
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00975openalex-snapshot
Boosting Self-Supervised Learning via Knowledge Transfer
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00190openalex-snapshot
Temporal Cycle-Consistency Learning
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.2019.00202openalex-snapshot
Revisiting Self-Supervised Visual Representation Learning
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00470openalex-snapshot
SelFlow: Self-Supervised Learning of Optical Flow
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00512openalex-snapshot
Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations
inferred← citeshttps://doi.org/10.1109/cvpr.2019.01061openalex-snapshot
Self-Supervised Representation Learning by Rotation Feature Decoupling
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00021openalex-snapshot
Evolving Losses for Unsupervised Video Representation 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/cvpr42600.2020.00542openalex-snapshot
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00565openalex-snapshot
A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00627openalex-snapshot
LSM: Learning Subspace Minimization for Low-Level Vision
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00644openalex-snapshot
Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00672openalex-snapshot
Online Deep Clustering for Unsupervised Representation Learning
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00674openalex-snapshot
Self-Supervised Learning of Pretext-Invariant Representations
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00737openalex-snapshot
How Useful Is Self-Supervised Pretraining for Visual Tasks?
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00975openalex-snapshot
Momentum Contrast for Unsupervised Visual Representation Learning
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01183openalex-snapshot
Generative-Discriminative Feature Representations for Open-Set Recognition
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01382openalex-snapshot
Self-Supervised Learning of Video-Induced Visual Invariances
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00117openalex-snapshot
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations
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