{"total":88,"rows":[{"id":"2311.18803","title":"BioCLIP: A Vision Foundation Model for the Tree of Life","created":"2023-11-30","cited_by_count":161,"area":null},{"id":"2111.06119","title":"Fine-Grained Image Analysis with Deep Learning: A Survey","created":"2021-11-11","cited_by_count":135,"area":null},{"id":"2110.05025","title":"Self-supervised Learning is More Robust to Dataset Imbalance","created":"2021-10-11","cited_by_count":123,"area":null},{"id":"2109.01116","title":"An Empirical Study of Graph Contrastive Learning","created":"2021-09-02","cited_by_count":113,"area":null},{"id":"2106.03149","title":"Large-scale Unsupervised Semantic Segmentation","created":"2021-06-06","cited_by_count":101,"area":null},{"id":"2112.05090","title":"Extending the WILDS Benchmark for Unsupervised Adaptation","created":"2021-12-09","cited_by_count":86,"area":null},{"id":"2211.07044","title":"SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation","created":"2022-11-13","cited_by_count":84,"area":null},{"id":"2307.15220","title":"Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures","created":"2023-07-27","cited_by_count":68,"area":null},{"id":"2202.12938","title":"Assessing the State of Self-Supervised Human Activity Recognition using Wearables","created":"2022-02-22","cited_by_count":65,"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":"2106.11118","title":"SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving","created":"2021-06-21","cited_by_count":43,"area":null},{"id":"2207.07635","title":"Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning","created":"2022-07-15","cited_by_count":39,"area":null},{"id":"2202.01339","title":"Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty","created":"2022-02-01","cited_by_count":37,"area":null},{"id":"2307.07487","title":"DreamTeacher: Pretraining Image Backbones with Deep Generative Models","created":"2023-07-14","cited_by_count":37,"area":null},{"id":"2204.04716","title":"TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning","created":"2022-04-10","cited_by_count":35,"area":null},{"id":"2408.14371","title":"SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery","created":"2024-08-26","cited_by_count":34,"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":"2508.04665","title":"Perch 2.0: The Bittern Lesson for Bioacoustics","created":"2025-08-06","cited_by_count":26,"area":null},{"id":"2206.13964","title":"Learning Gait Representation from Massive Unlabelled Walking Videos: A Benchmark","created":"2022-06-28","cited_by_count":25,"area":null},{"id":"2210.16870","title":"A simple, efficient and scalable contrastive masked autoencoder for learning visual representations","created":"2022-10-30","cited_by_count":25,"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":"2303.12756","title":"MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset","created":"2023-03-22","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":"2407.12210","title":"A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification","created":"2024-07-16","cited_by_count":19,"area":null},{"id":"2205.13267","title":"Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing","created":"2022-05-26","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":"2308.10239","title":"From Global to Local: Multi-scale Out-of-distribution Detection","created":"2023-08-20","cited_by_count":18,"area":null},{"id":"2405.17537","title":"CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale","created":"2024-05-27","cited_by_count":18,"area":null},{"id":"2206.05259","title":"Is Self-Supervised Learning More Robust Than Supervised Learning?","created":"2022-06-10","cited_by_count":17,"area":null},{"id":"2303.15443","title":"GeoNet: Benchmarking Unsupervised Adaptation across Geographies","created":"2023-03-27","cited_by_count":17,"area":null},{"id":"2304.08660","title":"(LC)$^2$: LiDAR-Camera Loop Constraints For Cross-Modal Place Recognition","created":"2023-04-17","cited_by_count":17,"area":null},{"id":"2311.08815","title":"Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations","created":"2023-11-15","cited_by_count":17,"area":null},{"id":"2212.01893","title":"Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering","created":"2022-12-04","cited_by_count":16,"area":null},{"id":"2207.12389","title":"MemSAC: Memory Augmented Sample Consistency for Large Scale Unsupervised Domain Adaptation","created":"2022-07-25","cited_by_count":15,"area":null},{"id":"2303.01669","title":"Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems","created":"2023-03-03","cited_by_count":14,"area":null},{"id":"2108.07183","title":"Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology","created":"2021-08-16","cited_by_count":13,"area":null},{"id":"2112.05760","title":"Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications","created":"2021-12-10","cited_by_count":12,"area":null},{"id":"2207.10225","title":"On Label Granularity and Object Localization","created":"2022-07-20","cited_by_count":12,"area":null},{"id":"2303.11101","title":"Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning","created":"2023-03-20","cited_by_count":12,"area":null},{"id":"2111.11595","title":"Semi-Supervised Learning with Taxonomic Labels","created":"2021-11-23","cited_by_count":11,"area":null},{"id":"2106.09229","title":"An Evaluation of Self-Supervised Pre-Training for Skin-Lesion Analysis","created":"2021-06-17","cited_by_count":10,"area":null},{"id":"2409.19439","title":"Contrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery","created":"2024-09-28","cited_by_count":10,"area":null},{"id":"2212.08378","title":"Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning","created":"2022-12-16","cited_by_count":9,"area":null},{"id":"2305.15154","title":"Clinically Labeled Contrastive Learning for OCT Biomarker Classification","created":"2023-05-24","cited_by_count":9,"area":null},{"id":"2401.11519","title":"CaBuAr: California Burned Areas dataset for delineation","created":"2024-01-21","cited_by_count":9,"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":"2105.06421","title":"Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation","created":"2021-05-13","cited_by_count":7,"area":null},{"id":"2303.18177","title":"STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition","created":"2023-03-31","cited_by_count":7,"area":null},{"id":"2304.05163","title":"Self-supervision for medical image classification: state-of-the-art performance with ~100 labeled training samples per class","created":"2023-04-11","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":"2203.04445","title":"Self-Supervision, Remote Sensing and Abstraction: Representation Learning Across 3 Million Locations","created":"2022-03-08","cited_by_count":6,"area":null},{"id":"2409.15264","title":"UDA-Bench: Revisiting Common Assumptions in Unsupervised Domain Adaptation Using a Standardized Framework","created":"2024-09-23","cited_by_count":6,"area":null},{"id":"2208.10698","title":"Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning","created":"2022-08-23","cited_by_count":5,"area":null},{"id":"2309.13822","title":"PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition","created":"2023-09-25","cited_by_count":5,"area":null},{"id":"2406.02465","title":"An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders","created":"2024-06-04","cited_by_count":5,"area":null},{"id":"2501.12535","title":"How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models?","created":"2025-01-21","cited_by_count":5,"area":null},{"id":"2211.07118","title":"Information-guided pixel augmentation for pixel-wise contrastive learning","created":"2022-11-14","cited_by_count":4,"area":null},{"id":"2308.11605","title":"GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning","created":"2023-08-22","cited_by_count":4,"area":null},{"id":"2403.01183","title":"Leveraging Self-Supervised Learning for Scene Classification in Child Sexual Abuse Imagery","created":"2024-03-02","cited_by_count":4,"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":"2211.14732","title":"Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges","created":"2022-11-27","cited_by_count":3,"area":null},{"id":"2406.02535","title":"Enhancing 2D Representation Learning with a 3D Prior","created":"2024-06-04","cited_by_count":3,"area":null},{"id":"2112.05340","title":"Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study","created":"2021-12-10","cited_by_count":2,"area":null},{"id":"2211.05092","title":"Clinical Contrastive Learning for Biomarker Detection","created":"2022-11-09","cited_by_count":2,"area":null},{"id":"2309.01740","title":"An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports","created":"2023-09-04","cited_by_count":2,"area":null},{"id":"2407.14676","title":"On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition","created":"2024-07-19","cited_by_count":2,"area":null},{"id":"2509.23373","title":"Graph Your Own Prompt","created":"2025-09-27","cited_by_count":2,"area":null},{"id":"2202.03365","title":"Simple Control Baselines for Evaluating Transfer Learning","created":"2022-02-07","cited_by_count":1,"area":null},{"id":"2203.08130","title":"One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning","created":"2022-03-15","cited_by_count":1,"area":null},{"id":"2207.10157","title":"Visual Knowledge Tracing","created":"2022-07-20","cited_by_count":1,"area":null},{"id":"2210.11456","title":"MixMask: Revisiting Masking Strategy for Siamese ConvNets","created":"2022-10-20","cited_by_count":1,"area":null},{"id":"2210.16776","title":"Saliency Can Be All You Need In Contrastive Self-Supervised Learning","created":"2022-10-30","cited_by_count":1,"area":null},{"id":"2401.08860","title":"Cross-Level Multi-Instance Distillation for Self-Supervised Fine-Grained Visual Categorization","created":"2024-01-16","cited_by_count":1,"area":null},{"id":"2403.04066","title":"LoDisc: Learning Global-Local Discriminative Features for Self-Supervised Fine-Grained Visual Recognition","created":"2024-03-06","cited_by_count":1,"area":null},{"id":"2404.19289","title":"On Improving the Algorithm-, Model-, and Data- Efficiency of Self-Supervised Learning","created":"2024-04-30","cited_by_count":1,"area":null},{"id":"2411.17584","title":"Pre-training for Action Recognition with Automatically Generated Fractal Datasets","created":"2024-11-26","cited_by_count":1,"area":null},{"id":"2604.05039","title":"ID-Sim: An Identity-Focused Similarity Metric","created":"2026-04-06","cited_by_count":1,"area":null},{"id":"2108.04893","title":"How Self-Supervised Learning Can be Used for Fine-Grained Head Pose Estimation?","created":"2021-08-10","cited_by_count":0,"area":null},{"id":"2206.08524","title":"CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound","created":"2022-06-17","cited_by_count":0,"area":null},{"id":"2211.09041","title":"Anomaly Detection via Multi-Scale Contrasted Memory","created":"2022-11-16","cited_by_count":0,"area":null},{"id":"2301.12459","title":"The Influences of Color and Shape Features in Visual Contrastive Learning","created":"2023-01-29","cited_by_count":0,"area":null},{"id":"2306.01929","title":"Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work","created":"2023-06-02","cited_by_count":0,"area":null},{"id":"2306.08955","title":"A Comparison of Self-Supervised Pretraining Approaches for Predicting Disease Risk from Chest Radiograph Images","created":"2023-06-15","cited_by_count":0,"area":null},{"id":"2312.00824","title":"Variational Self-Supervised Contrastive Learning Using Beta Divergence","created":"2023-09-05","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":"2510.25926","title":"Active Learning with Task-Driven Representations for Messy Pools","created":"2025-10-29","cited_by_count":0,"area":null},{"id":"2605.01834","title":"Repurposing and Evaluating the (In)Feasibility of Dataset Poisoning enabled Watermarking for Contrastive Learning","created":"2026-05-03","cited_by_count":0,"area":null},{"id":"2608.08963","title":"Fourier Self-Supervision for Fine-Grained Generalized Category Discovery","created":"2026-08-09","cited_by_count":0,"area":null}],"next_cursor":null}