{"total":30,"rows":[{"id":"2104.14294","title":"Emerging Properties in Self-Supervised Vision Transformers","created":"2021-04-29","cited_by_count":6968,"area":null},{"id":"2110.06207","title":"Open-Set Recognition: a Good Closed-Set Classifier is All You Need?","created":"2021-10-12","cited_by_count":353,"area":null},{"id":"2209.03494","title":"Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations","created":"2022-09-07","cited_by_count":196,"area":null},{"id":"2205.13543","title":"Revealing the Dark Secrets of Masked Image Modeling","created":"2022-05-26","cited_by_count":117,"area":null},{"id":"2105.05837","title":"When Does Contrastive Visual Representation Learning Work?","created":"2021-05-12","cited_by_count":92,"area":null},{"id":"2202.08360","title":"Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision","created":"2022-02-16","cited_by_count":80,"area":null},{"id":"2109.13228","title":"PASS: An ImageNet replacement for self-supervised pretraining without humans","created":"2021-09-27","cited_by_count":51,"area":null},{"id":"2201.06696","title":"ProposalCLIP: Unsupervised Open-Category Object Proposal Generation via Exploiting CLIP Cues","created":"2022-01-18","cited_by_count":42,"area":null},{"id":"2207.07106","title":"Benchmarking Omni-Vision Representation through the Lens of Visual Realms","created":"2022-07-14","cited_by_count":38,"area":null},{"id":"2303.05675","title":"HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining","created":"2023-03-10","cited_by_count":38,"area":null},{"id":"2103.14005","title":"Contrasting Contrastive Self-Supervised Representation Learning Pipelines","created":"2021-03-25","cited_by_count":37,"area":null},{"id":"2112.00496","title":"Revisiting the Transferability of Supervised Pretraining: an MLP Perspective","created":"2021-12-01","cited_by_count":36,"area":null},{"id":"2209.09024","title":"Dataset Inference for Self-Supervised Models","created":"2022-09-16","cited_by_count":36,"area":null},{"id":"2203.14221","title":"How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning?","created":"2022-03-27","cited_by_count":23,"area":null},{"id":"2206.15369","title":"No Reason for No Supervision: Improved Generalization in Supervised Models","created":"2022-06-30","cited_by_count":23,"area":null},{"id":"2203.03871","title":"Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective","created":"2022-03-08","cited_by_count":13,"area":null},{"id":"2210.04993","title":"Continual Learning with Evolving Class Ontologies","created":"2022-10-10","cited_by_count":13,"area":null},{"id":"2207.10225","title":"On Label Granularity and Object Localization","created":"2022-07-20","cited_by_count":12,"area":null},{"id":"2205.04771","title":"Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domains","created":"2022-05-10","cited_by_count":10,"area":null},{"id":"2209.03268","title":"Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing","created":"2022-09-07","cited_by_count":8,"area":null},{"id":"2210.02254","title":"Granularity-aware Adaptation for Image Retrieval over Multiple Tasks","created":"2022-10-05","cited_by_count":8,"area":null},{"id":"2403.16697","title":"DPStyler: Dynamic PromptStyler for Source-Free Domain Generalization","created":"2024-03-25","cited_by_count":6,"area":null},{"id":"2204.08226","title":"Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey","created":"2022-04-18","cited_by_count":5,"area":null},{"id":"2311.13321","title":"Revisiting Supervision for Continual Representation Learning","created":"2023-11-22","cited_by_count":5,"area":null},{"id":"2407.21311","title":"Efficient unsupervised domain adaptation via self-supervised vision transformer and synergistic cross-domain alignment","created":"2024-07-31","cited_by_count":5,"area":null},{"id":"2504.05706","title":"SEVERE++: Evaluating Benchmark Sensitivity in Generalization of Video Representation Learning","created":"2025-04-08","cited_by_count":4,"area":null},{"id":"2406.14568","title":"Policy Gradient-Driven Noise Mask","created":"2024-04-29","cited_by_count":2,"area":null},{"id":"2403.03535","title":"Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications","created":"2024-03-06","cited_by_count":1,"area":null},{"id":"2403.19595","title":"Situation Awareness for Driver-Centric Driving Style Adaptation","created":"2024-03-28","cited_by_count":1,"area":null},{"id":"2206.06168","title":"2nd Place Solution for ICCV 2021 VIPriors Image Classification Challenge: An Attract-and-Repulse Learning Approach","created":"2022-06-13","cited_by_count":0,"area":null}],"next_cursor":null}