{"total":45,"rows":[{"id":"2110.05208","title":"Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm","created":"2021-10-11","cited_by_count":405,"area":null},{"id":"2212.04690","title":"Benchmarking Self-Supervised Learning on Diverse Pathology Datasets","created":"2022-12-09","cited_by_count":150,"area":null},{"id":"2203.16258","title":"Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data","created":"2022-03-30","cited_by_count":126,"area":null},{"id":"2205.15288","title":"Self-Supervised Visual Representation Learning with Semantic Grouping","created":"2022-05-30","cited_by_count":70,"area":null},{"id":"2210.11680","title":"Twin Contrastive Learning for Online Clustering","created":"2022-10-21","cited_by_count":60,"area":null},{"id":"2304.00426","title":"Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning","created":"2023-04-02","cited_by_count":55,"area":null},{"id":"2206.06363","title":"Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation","created":"2022-06-13","cited_by_count":54,"area":null},{"id":"2304.09670","title":"CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding","created":"2023-04-19","cited_by_count":48,"area":null},{"id":"2212.03862","title":"Teaching Matters: Investigating the Role of Supervision in Vision Transformers","created":"2022-12-07","cited_by_count":45,"area":null},{"id":"2302.01735","title":"Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective","created":"2023-02-03","cited_by_count":43,"area":null},{"id":"2204.11432","title":"Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers","created":"2022-04-25","cited_by_count":39,"area":null},{"id":"2303.00874","title":"Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training","created":"2023-03-02","cited_by_count":37,"area":null},{"id":"2203.12892","title":"Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals","created":"2022-03-24","cited_by_count":30,"area":null},{"id":"2209.13476","title":"Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels","created":"2022-09-27","cited_by_count":30,"area":null},{"id":"2303.00106","title":"The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning","created":"2023-02-28","cited_by_count":27,"area":null},{"id":"2112.00319","title":"Object-Aware Cropping for Self-Supervised Learning","created":"2021-12-01","cited_by_count":22,"area":null},{"id":"2308.16572","title":"CL-MAE: Curriculum-Learned Masked Autoencoders","created":"2023-08-31","cited_by_count":22,"area":null},{"id":"2303.13245","title":"CrOC: Cross-View Online Clustering for Dense Visual Representation Learning","created":"2023-03-23","cited_by_count":21,"area":null},{"id":"2206.08347","title":"Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning","created":"2022-06-16","cited_by_count":20,"area":null},{"id":"2204.07344","title":"CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging","created":"2022-04-15","cited_by_count":18,"area":null},{"id":"2209.02329","title":"Multimodal contrastive learning for remote sensing tasks","created":"2022-09-06","cited_by_count":18,"area":null},{"id":"2309.10726","title":"Few-Shot Panoptic Segmentation With Foundation Models","created":"2023-09-19","cited_by_count":18,"area":null},{"id":"2308.03286","title":"Multi-Label Self-Supervised Learning with Scene Images","created":"2023-08-07","cited_by_count":17,"area":null},{"id":"2210.00314","title":"Learning Hierarchical Image Segmentation For Recognition and By Recognition","created":"2022-10-01","cited_by_count":16,"area":null},{"id":"2207.10456","title":"Semantic-Aware Fine-Grained Correspondence","created":"2022-07-21","cited_by_count":13,"area":null},{"id":"2301.11915","title":"Understanding Self-Supervised Pretraining with Part-Aware Representation Learning","created":"2023-01-27","cited_by_count":7,"area":null},{"id":"2306.04244","title":"Coarse Is Better? A New Pipeline Towards Self-Supervised Learning with Uncurated Images","created":"2023-06-07","cited_by_count":7,"area":null},{"id":"2403.13808","title":"On Pretraining Data Diversity for Self-Supervised Learning","created":"2024-03-20","cited_by_count":7,"area":null},{"id":"2503.06960","title":"A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning","created":"2025-03-10","cited_by_count":7,"area":null},{"id":"2208.11821","title":"Refine and Represent: Region-to-Object Representation Learning","created":"2022-08-25","cited_by_count":5,"area":null},{"id":"2401.17207","title":"Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI","created":"2024-01-30","cited_by_count":4,"area":null},{"id":"2208.14439","title":"Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond","created":"2022-08-30","cited_by_count":3,"area":null},{"id":"2210.02808","title":"Effective Self-supervised Pre-training on Low-compute Networks without Distillation","created":"2022-10-06","cited_by_count":3,"area":null},{"id":"2206.01999","title":"MSR: Making Self-supervised learning Robust to Aggressive Augmentations","created":"2022-06-04","cited_by_count":2,"area":null},{"id":"2211.05236","title":"Okapi: Generalising Better by Making Statistical Matches Match","created":"2022-11-07","cited_by_count":2,"area":null},{"id":"2311.04766","title":"DualTalker: A Cross-Modal Dual Learning Approach for Speech-Driven 3D Facial Animation","created":"2023-11-08","cited_by_count":2,"area":null},{"id":"2504.07522","title":"Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data","created":"2025-04-10","cited_by_count":2,"area":null},{"id":"2402.02956","title":"AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a Single High-Resolution Image","created":"2024-02-05","cited_by_count":1,"area":null},{"id":"2509.11344","title":"Beyond Instance Consistency: Investigating View Diversity in Self-supervised Learning","created":"2025-09-14","cited_by_count":1,"area":null},{"id":"2512.02831","title":"Revisiting Theory of Contrastive Learning for Domain Generalization","created":"2025-12-02","cited_by_count":1,"area":null},{"id":"2303.17410","title":"Removing supervision in semantic segmentation with local-global matching and area balancing","created":"2023-03-30","cited_by_count":0,"area":null},{"id":"2307.15697","title":"Aligned Unsupervised Pretraining of Object Detectors with Self-training","created":"2023-07-28","cited_by_count":0,"area":null},{"id":"2404.13505","title":"Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object Segmentation","created":"2024-04-21","cited_by_count":0,"area":null},{"id":"2410.12396","title":"Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look","created":"2024-10-16","cited_by_count":0,"area":null},{"id":"2412.05345","title":"Osteoporosis Prediction from Hand X-ray Images Using Segmentation-for-Classification and Self-Supervised Learning","created":"2024-12-06","cited_by_count":0,"area":null}],"next_cursor":null}