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Cross-Domain Self-Supervised Multi-task Feature Learning Using Synthetic Imagery
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Facial Landmark Detection by Deep Multi-task Learning
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Discriminatively Trained Dense Surface Normal Estimation
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Microsoft COCO: Common Objects in Context
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Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification
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Ambient Sound Provides Supervision for Visual Learning
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Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
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The Curious Robot: Learning Visual Representations via Physical Interactions
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Playing for Data: Ground Truth from Computer Games
inferredcites →https://doi.org/10.1007/978-3-319-46487-9_40openalex-snapshot
Colorful Image Colorization
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Domain-Adversarial Training of Neural Networks
inferredcites →https://doi.org/10.1007/978-3-642-15561-1_16openalex-snapshot
Adapting Visual Category Models to New Domains
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/10.1007/978-3-658-40442-0_9openalex-snapshot
Generative Adversarial Nets
inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-snapshot
The Pascal Visual Object Classes (VOC) Challenge
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/cvpr.2004.383openalex-snapshot
Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2014.487openalex-snapshot
Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot
Fully convolutional networks for semantic segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.278openalex-snapshot
Context Encoders: Feature Learning by Inpainting
inferredcites →https://doi.org/10.1109/cvpr.2016.352openalex-snapshot
The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes
inferredcites →https://doi.org/10.1109/cvpr.2016.383openalex-snapshot
Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images
inferredcites →https://doi.org/10.1109/cvpr.2016.418openalex-snapshot
Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video
inferredcites →https://doi.org/10.1109/cvpr.2016.433openalex-snapshot
Cross-Stitch Networks for Multi-task Learning
inferredcites →https://doi.org/10.1109/cvpr.2016.438openalex-snapshot
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
inferredcites →https://doi.org/10.1109/cvpr.2016.470openalex-snapshot
VirtualWorlds as Proxy for Multi-object Tracking Analysis
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Marr Revisited: 2D-3D Alignment via Surface Normal Prediction
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Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.241openalex-snapshot
Learning from Simulated and Unsupervised Images through Adversarial Training
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Semantic Scene Completion from a Single Depth Image
inferredcites →https://doi.org/10.1109/cvpr.2017.316openalex-snapshot
Adversarial Discriminative Domain Adaptation
inferredcites →https://doi.org/10.1109/cvpr.2017.537openalex-snapshot
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks
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/cvpr.2017.632openalex-snapshot
Image-to-Image Translation with Conditional Adversarial Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.638openalex-snapshot
Learning Features by Watching Objects Move
inferredcites →https://doi.org/10.1109/cvpr.2017.76openalex-snapshot
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
inferredcites →https://doi.org/10.1109/cvpr.2017.96openalex-snapshot
Colorization as a Proxy Task for Visual Understanding
inferredcites →https://doi.org/10.1109/iccv.2015.151openalex-snapshot
Learning Deep Object Detectors from 3D Models
inferredcites →https://doi.org/10.1109/iccv.2015.164openalex-snapshot
Holistically-Nested Edge Detection
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.2015.304openalex-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/iccv.2015.463openalex-snapshot
Simultaneous Deep Transfer Across Domains and Tasks
inferredcites →https://doi.org/10.1109/iccv.2017.149openalex-snapshot
Transitive Invariance for Self-Supervised Visual Representation Learning
inferredcites →https://doi.org/10.1109/iccv.2017.226openalex-snapshot
Multi-task Self-Supervised Visual Learning
inferredcites →https://doi.org/10.1109/iccv.2017.244openalex-snapshot
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
inferredcites →https://doi.org/10.1109/iccv.2017.292openalex-snapshot
SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-training on Indoor Segmentation?
inferredcites →https://doi.org/10.1109/iccv.2017.628openalex-snapshot
Representation Learning by Learning to Count
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/10.1109/icra.2017.7989381openalex-snapshot
Target-driven visual navigation in indoor scenes using deep reinforcement learning
inferredcites →https://doi.org/10.1109/smi.2004.1314504openalex-snapshot
The princeton shape benchmark
inferredcites →https://doi.org/10.1109/tpami.2013.50openalex-snapshot
Representation Learning: A Review and New Perspectives
inferredcites →https://doi.org/10.1126/science.1127647openalex-snapshot
Reducing the Dimensionality of Data with Neural Networks
inferredcites →https://doi.org/10.1145/2601097.2601159openalex-snapshot
Estimating image depth using shape collections
inferredcites →https://doi.org/10.1145/2766890openalex-snapshot
Single-view reconstruction via joint analysis of image and shape collections
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1167/17.10.296openalex-snapshot
Places: An Image Database for Deep Scene Understanding
inferredcites →https://doi.org/10.4230/lipics.cosit.2024.1openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.4230/lipics.wabi.2019.10openalex-snapshot
Jointly Embedding Multiple Single-Cell Omics Measurements
inferredcites →https://doi.org/10.48550/arxiv.1406.2283openalex-snapshot
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
inferredcites →https://doi.org/10.48550/arxiv.1406.5212openalex-snapshot
R-CNNs for Pose Estimation and Action Detection
inferredcites →https://doi.org/10.48550/arxiv.1409.7495openalex-snapshot
Unsupervised Domain Adaptation by Backpropagation
inferredcites →https://doi.org/10.48550/arxiv.1502.03167openalex-snapshot
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
inferredcites →https://doi.org/10.48550/arxiv.1511.06856openalex-snapshot
Data-dependent Initializations of Convolutional Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1512.03012openalex-snapshot
ShapeNet: An Information-Rich 3D Model Repository
inferredcites →https://doi.org/10.48550/arxiv.1603.01312openalex-snapshot
Learning Physical Intuition of Block Towers by Example
inferredcites →https://doi.org/10.48550/arxiv.1702.06506openalex-snapshot
PixelNet: Representation of the pixels, by the pixels, and for the pixels
inferredcites →https://doi.org/10.48550/arxiv.1703.05192openalex-snapshot
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1704.05310openalex-snapshot
Unsupervised Learning by Predicting Noise
inferredcites →https://doi.org/10.5244/c.30.26openalex-snapshot
Play and Learn: Using Video Games to Train Computer Vision Models
inferredcites →https://doi.org/10.5281/zenodo.10089705openalex-snapshot
ShapeNet: An Information-Rich 3D Model Repository
inferredcites →https://doi.org/10.5555/1756006.1953039openalex-snapshot
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Toward Smart Internet of Things (IoT) for Apparel Retail Industry: Automatic Customer’s Body Measurements and Size Recommendation System using Computer Vision Techniques
inferred← citeshttps://doi.org/10.1109/igarss.2019.8900639openalex-snapshot
Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer
inferred← citeshttps://doi.org/10.1109/ipta.2019.8936124openalex-snapshot
Domain Adaptation for Car Accident Detection in Videos
inferred← citeshttps://doi.org/10.1109/iros40897.2019.8967842openalex-snapshot
Representation Learning via Parallel Subset Reconstruction for 3D Point Cloud Generation
inferred← citeshttps://doi.org/10.1109/iscas66217.2026.11562665openalex-snapshot
Indoor Panoramic Depth Estimation via Dual-Projection Feature Fusion and Structural Refinement
inferred← citeshttps://doi.org/10.1109/ist59124.2023.10355726openalex-snapshot
Domain adaptation method for semantic segmentation in marine vessel inspection
inferred← citeshttps://doi.org/10.1109/itsc.2019.8917073openalex-snapshot
Don’t Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation
inferred← citeshttps://doi.org/10.1109/itsc.2019.8917177openalex-snapshot
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification
inferred← citeshttps://doi.org/10.1109/iv48863.2021.9575963openalex-snapshot
Boosting Supervised Learning Performance with Co-training
inferred← citeshttps://doi.org/10.1109/iv66570.2026.11623951openalex-snapshot
Robust LIDAR Sensor-to-Sensor Domain Generalization via Accumulated-Point Scene Completion
inferred← citeshttps://doi.org/10.1109/jbhi.2021.3107532openalex-snapshot
Cross-Domain Self-Supervised Complete Geometric Representation Learning for Real-Scanned Point Cloud Based Pathological Gait Analysis
inferred← citeshttps://doi.org/10.1109/mgrs.2022.3198244openalex-snapshot
Self-Supervised Learning in Remote Sensing: A review
inferred← citeshttps://doi.org/10.1109/seb4sdg60871.2024.10630294openalex-snapshot
CNN-LSTM Model for Mitigation of DDoS Attacks in Software-Defined Networks
inferred← citeshttps://doi.org/10.1109/tcsvt.2020.2995122openalex-snapshot
Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation
inferred← citeshttps://doi.org/10.1109/tcsvt.2020.3005807openalex-snapshot
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification
inferred← citeshttps://doi.org/10.1109/tcyb.2021.3079914openalex-snapshot
Learning the Precise Feature for Cluster Assignment
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3067513openalex-snapshot
Unsupervised Domain Adaptation for Cloud Detection Based on Grouped Features Alignment and Entropy Minimization
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3120001openalex-snapshot
Unsupervised Domain-Invariant Feature Learning for Cloud Detection of Remote Sensing Images
inferred← citeshttps://doi.org/10.1109/tip.2021.3096090openalex-snapshot
FloorLevel-Net: Recognizing Floor-Level Lines With Height-Attention-Guided Multi-Task Learning
inferred← citeshttps://doi.org/10.1109/tits.2024.3430811openalex-snapshot
Strong-Help-Weak: An Online Multi-Task Inference Learning Approach for Robust Advanced Driver Assistance Systems
inferred← citeshttps://doi.org/10.1109/tmm.2024.3361729openalex-snapshot
Domain-Aware Graph Network for Bridging Multi-Source Domain Adaptation
inferred← citeshttps://doi.org/10.1109/tmm.2024.3521744openalex-snapshot
Alignment-Guided Self-Supervised Learning for Diagram Question Answering
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3061164openalex-snapshot
Multinetwork Collaborative Feature Learning for Semisupervised Person Reidentification
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3131154openalex-snapshot
Effects of Motion-Relevant Knowledge From Unlabeled Video to Human–Object Interaction Detection
inferred← citeshttps://doi.org/10.1109/tpami.2018.2873701openalex-snapshot
Visual Permutation Learning
inferred← citeshttps://doi.org/10.1109/tpami.2020.2992393openalex-snapshot
Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey
inferred← citeshttps://doi.org/10.1109/tpami.2021.3070791openalex-snapshot
Self-Supervised Learning Across Domains
inferred← citeshttps://doi.org/10.1109/tpami.2021.3123843openalex-snapshot
Unsupervised Domain Adaptation of Deep Networks for ToF Depth Refinement
inferred← citeshttps://doi.org/10.1109/tpami.2022.3218275openalex-snapshot
Large-Scale Unsupervised Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/tpami.2024.3362288openalex-snapshot
Multi-Task Learning of Object States and State-Modifying Actions From Web Videos
inferred← citeshttps://doi.org/10.1109/tpami.2024.3415112openalex-snapshot
A Survey on Self-Supervised Learning: Algorithms, Applications, and Future Trends
inferred← citeshttps://doi.org/10.1109/wacv.2019.00025openalex-snapshot
Video Jigsaw: Unsupervised Learning of Spatiotemporal Context for Video Action Recognition
inferred← citeshttps://doi.org/10.1109/wacv48630.2021.00017openalex-snapshot
Self-Supervised Learning for Domain Adaptation on Point Clouds
inferred← citeshttps://doi.org/10.1109/wacv48630.2021.00107openalex-snapshot
Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning
inferred← citeshttps://doi.org/10.1109/wacv51458.2022.00272openalex-snapshot
Semi-supervised Multi-task Learning for Semantics and Depth
inferred← citeshttps://doi.org/10.1109/wacv51458.2022.00371openalex-snapshot
Sharing Decoders: Network Fission for Multi-task Pixel Prediction
inferred← citeshttps://doi.org/10.1109/wacv56688.2023.00282openalex-snapshot
FUSSL: Fuzzy Uncertain Self Supervised Learning
inferred← citeshttps://doi.org/10.1111/cgf.14682openalex-snapshot
Effective Eyebrow Matting with Domain Adaptation
inferred← citeshttps://doi.org/10.1117/1.jmm.22.3.031208openalex-snapshot
Training procedure for scanning electron microscope 3D surface reconstruction using unsupervised domain adaptation with simulated data
inferred← citeshttps://doi.org/10.1145/3485441.3485649openalex-snapshot
Depth Estimation from a Single Omnidirectional Image using Domain Adaptation
inferred← citeshttps://doi.org/10.1145/3503161.3548121openalex-snapshot
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation
inferred← citeshttps://doi.org/10.1145/3512290.3528718openalex-snapshot
Deep surrogate assisted MAP-elites for automated hearthstone deckbuilding
inferred← citeshttps://doi.org/10.1155/2021/1382781openalex-snapshot
[Retracted] Research on Efficient Deep Learning Algorithm Based on ShuffleGhost in the Field of Virtual Reality
inferred← citeshttps://doi.org/10.11591/eei.v10i6.3204openalex-snapshot
A multi-task learning based hybrid prediction algorithm for privacy preserving human activity recognition framework
inferred← citeshttps://doi.org/10.1587/transinf.2019mvp0016openalex-snapshot
Instance Segmentation by Semi-Supervised Learning and Image Synthesis
inferred← citeshttps://doi.org/10.2139/ssrn.4948416openalex-snapshot
Unsupervised Domain Adaptation for Multitask Image Analysis in Realistic Context with Extreme Label Shift; Application to the CTAO first Large Sized Telescope
inferred← citeshttps://doi.org/10.3233/web-220084openalex-snapshot
A survey on action and event recognition with detectors for video data
inferred← citeshttps://doi.org/10.32657/10356/151080openalex-snapshot
Deep feature learning for image classification via countering over-fitting
inferred← citeshttps://doi.org/10.3390/a12050096openalex-snapshot
Triplet Loss Network for Unsupervised Domain Adaptation
inferred← citeshttps://doi.org/10.3390/app13020723openalex-snapshot
Formula-Driven Supervised Learning in Computer Vision: A Literature Survey
inferred← citeshttps://doi.org/10.3390/biologics5030027openalex-snapshot
Advancing Early Detection of Osteoarthritis Through Biomarker Profiling and Predictive Modelling: A Review
inferred← citeshttps://doi.org/10.3390/informatics8030059openalex-snapshot
Applying Self-Supervised Learning to Medicine: Review of the State of the Art and Medical Implementations
inferred← citeshttps://doi.org/10.3390/jpm15010017openalex-snapshot
Patient-Specific Variability in Interleukin-6 and Myeloperoxidase Responses in Osteoarthritis: Insights from Synthetic Data and Clustering Analysis
inferred← citeshttps://doi.org/10.3390/rs13163275openalex-snapshot
MARE: Self-Supervised Multi-Attention REsu-Net for Semantic Segmentation in Remote Sensing
inferred← citeshttps://doi.org/10.3390/rs14112641openalex-snapshot
Semi-Supervised Cloud Detection in Satellite Images by Considering the Domain Shift Problem
inferred← citeshttps://doi.org/10.3390/rs14143317openalex-snapshot
Improving Image Clustering through Sample Ranking and Its Application to Remote Sensing Images
inferred← citeshttps://doi.org/10.3390/rs14143361openalex-snapshot
Clustering-Based Representation Learning through Output Translation and Its Application to Remote-Sensing Images
inferred← citeshttps://doi.org/10.3390/s20133737openalex-snapshot
Joint Unsupervised Learning of Depth, Pose, Ground Normal Vector and Ground Segmentation by a Monocular Camera Sensor
inferred← citeshttps://doi.org/10.3390/s20133739openalex-snapshot
When I Look into Your Eyes: A Survey on Computer Vision Contributions for Human Gaze Estimation and Tracking
inferred← citeshttps://doi.org/10.3390/s22041599openalex-snapshot
GAN-Based Image Colorization for Self-Supervised Visual Feature Learning
inferred← citeshttps://doi.org/10.3390/technologies8010001openalex-snapshot
Incremental and Multi-Task Learning Strategies for Coarse-To-Fine Semantic Segmentation
inferred← citeshttps://doi.org/10.33915/etd.12295openalex-snapshot
Active Uncertainty Representation Learning: Toward More Label Efficiency in Deep Learning
inferred← citeshttps://doi.org/10.3934/fmf.2026001openalex-snapshot
Synchronizing pretrained kernel regressors with applications to American option pricing
inferred← citeshttps://doi.org/10.3934/mbe.2023074openalex-snapshot
Ultrasound carotid plaque segmentation via image reconstruction-based self-supervised learning with limited training labels
inferred← citeshttps://doi.org/10.47852/bonviewaia32021615openalex-snapshot
Using Synthetic Data for Wheelchair Footrests Design Customization: The Kyklos 4.0 Approach
inferred← citeshttps://doi.org/10.48550/arxiv.1810.11203openalex-snapshot
CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks
inferred← citeshttps://doi.org/10.48550/arxiv.1811.07222openalex-snapshot
GroundNet: Monocular Ground Plane Normal Estimation with Geometric Consistency
inferred← citeshttps://doi.org/10.48550/arxiv.1811.11387openalex-snapshot
Self-Supervised Spatiotemporal Feature Learning via Video Rotation Prediction
inferred← citeshttps://doi.org/10.48550/arxiv.1904.13132openalex-snapshot
A critical analysis of self-supervision, or what we can learn from a single image
inferred← citeshttps://doi.org/10.48550/arxiv.1905.10000openalex-snapshot
Implicit Label Augmentation on Partially Annotated Clips via Temporally-Adaptive Features Learning
inferred← citeshttps://doi.org/10.48550/arxiv.1906.07079openalex-snapshot
Boosting Supervision with Self-Supervision for Few-shot Learning
inferred← citeshttps://doi.org/10.48550/arxiv.1908.01707openalex-snapshot
Learning a Unified Embedding for Visual Search at Pinterest
inferred← citeshttps://doi.org/10.48550/arxiv.1910.03915openalex-snapshot
Learning to Generalize One Sample at a Time with Self-Supervision
inferred← citeshttps://doi.org/10.48550/arxiv.1911.05371openalex-snapshot
SELF-LABELLING VIA SIMULTANEOUS CLUSTERING AND REPRESENTATION LEARNING
inferred← citeshttps://doi.org/10.48550/arxiv.2003.00877openalex-snapshot
A Multi-view Perspective of Self-supervised Learning
inferred← citeshttps://doi.org/10.48550/arxiv.2003.13623openalex-snapshot
Laplacian Denoising Autoencoder
inferred← citeshttps://doi.org/10.48550/arxiv.2006.03783openalex-snapshot
No-Reference Image Quality Assessment via Feature Fusion and Multi-Task Learning
inferred← citeshttps://doi.org/10.48550/arxiv.2008.10592openalex-snapshot
3D for Free: Crossmodal Transfer Learning using HD Maps
inferred← citeshttps://doi.org/10.48550/arxiv.2103.13696openalex-snapshot
SSLayout360: Semi-Supervised Indoor Layout Estimation from 360-Degree Panorama
inferred← citeshttps://doi.org/10.48550/arxiv.2106.05470openalex-snapshot
Automated Self-Supervised Learning for Graphs
inferred← citeshttps://doi.org/10.48550/arxiv.2106.05961openalex-snapshot
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
inferred← citeshttps://doi.org/10.48550/arxiv.2106.15147openalex-snapshot
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption
inferred← citeshttps://doi.org/10.5121/csit.2022.122203openalex-snapshot
Visually Similar Products Retrieval for Shopsy
inferred← citeshttps://doi.org/10.70675/1e15bf3bz6180z4b9bzbd1az5af511dd5e82openalex-snapshot
Auxiliary learning & Adversarial training for Medieval Manuscript Studies
inferred← citeshttps://doi.org/10.70675/6c5add14zaebez4287z800dzab48102c8f8bopenalex-snapshot
Segmentation of road scene omnidirectional images
inferred← citeshttps://doi.org/10.70675/7263c670z2517z402dzad8fz1f991ba5d034openalex-snapshot
Conception d'architectures profondes pour l'interprétation de données visuelles
inferred← citeshttps://doi.org/10.70675/81cf0d34z7c3ez4553z8621z51e875971c6dopenalex-snapshot
Cherenkov image analysis with deep multi-task learning from single-telescope data
inferred← citeshttps://doi.org/10.70675/9bb2e5b8z92a8z4be9z8692z4b8d40be6c13openalex-snapshot
Des simulations aux données réelles, sur la pertinence des modèles d'apprentissage profond et de l'adaptation de domaine : Application à l'astrophysique avec CTAO et LST-1
inferred← citeshttps://doi.org/10.70675/aeb1fb70za11fz410fzaf33z6a28e0f0f154openalex-snapshot
Multimodal Document Understanding with Unified Vision and Language Cross-Modal Learning
inferred← citeshttps://doi.org/10.70675/afcffb81z0581z45d3zb31bz49fe016d8913openalex-snapshot
Domain Adaptation for Urban Scene Segmentation
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