{"total":20,"rows":[{"id":"2303.11739","title":"Data-efficient Large Scale Place Recognition with Graded Similarity Supervision","created":"2023-03-21","cited_by_count":43,"area":null},{"id":"2304.05884","title":"Unicom: Universal and Compact Representation Learning for Image Retrieval","created":"2023-04-12","cited_by_count":36,"area":null},{"id":"2203.08547","title":"Non-isotropy Regularization for Proxy-based Deep Metric Learning","created":"2022-03-16","cited_by_count":33,"area":null},{"id":"2305.16713","title":"ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection","created":"2023-05-26","cited_by_count":30,"area":null},{"id":"2212.14258","title":"HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization","created":"2022-12-29","cited_by_count":26,"area":null},{"id":"2211.14058","title":"Cross-Domain Ensemble Distillation for Domain Generalization","created":"2022-11-25","cited_by_count":21,"area":null},{"id":"2203.08543","title":"Integrating Language Guidance into Vision-based Deep Metric Learning","created":"2022-03-16","cited_by_count":19,"area":null},{"id":"2207.03784","title":"A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning","created":"2022-07-08","cited_by_count":19,"area":null},{"id":"2206.11517","title":"Utilizing Expert Features for Contrastive Learning of Time-Series Representations","created":"2022-06-23","cited_by_count":17,"area":null},{"id":"2205.01903","title":"Self-Taught Metric Learning without Labels","created":"2022-05-04","cited_by_count":13,"area":null},{"id":"2207.14465","title":"Fine-grained Retrieval Prompt Tuning","created":"2022-07-29","cited_by_count":11,"area":null},{"id":"2408.05749","title":"Efficient and Versatile Robust Fine-Tuning of Zero-shot Models","created":"2024-08-11","cited_by_count":7,"area":null},{"id":"2206.02029","title":"Guided Deep Metric Learning","created":"2022-06-04","cited_by_count":3,"area":null},{"id":"2302.04108","title":"Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios","created":"2023-02-08","cited_by_count":3,"area":null},{"id":"2512.06255","title":"Language-driven Fine-grained Retrieval","created":"2025-12-06","cited_by_count":2,"area":null},{"id":"2210.04180","title":"Coded Residual Transform for Generalizable Deep Metric Learning","created":"2022-10-09","cited_by_count":1,"area":null},{"id":"2211.07566","title":"Self-distillation with Online Diffusion on Batch Manifolds Improves Deep Metric Learning","created":"2022-11-14","cited_by_count":0,"area":null},{"id":"2409.16073","title":"OW-Rep: Open World Object Detection with Instance Representation Learning","created":"2024-09-24","cited_by_count":0,"area":null},{"id":"2507.21742","title":"Adversarial Reconstruction Feedback for Robust Fine-grained Generalization","created":"2025-07-29","cited_by_count":0,"area":null},{"id":"2605.09859","title":"Learning to Align Generative Appearance Priors for Fine-grained Image Retrieval","created":"2026-05-11","cited_by_count":0,"area":null}],"next_cursor":null}