{"total":29,"rows":[{"id":"2203.10833","title":"Hyperbolic Vision Transformers: Combining Improvements in Metric Learning","created":"2022-03-21","cited_by_count":111,"area":null},{"id":"2102.05644","title":"Training Vision Transformers for Image Retrieval","created":"2021-02-10","cited_by_count":90,"area":null},{"id":"2108.11179","title":"Recall@k Surrogate Loss with Large Batches and Similarity Mixup","created":"2021-08-25","cited_by_count":49,"area":null},{"id":"2102.07753","title":"Learning Intra-Batch Connections for Deep Metric Learning","created":"2021-02-15","cited_by_count":34,"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":"2108.05889","title":"Towards Interpretable Deep Metric Learning with Structural Matching","created":"2021-08-12","cited_by_count":30,"area":null},{"id":"2103.14908","title":"Embedding Transfer with Label Relaxation for Improved Metric Learning","created":"2021-03-27","cited_by_count":21,"area":null},{"id":"2110.01445","title":"Robust and Decomposable Average Precision for Image Retrieval","created":"2021-10-01","cited_by_count":19,"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":"2107.09562","title":"Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning","created":"2021-07-20","cited_by_count":17,"area":null},{"id":"2203.12748","title":"Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning","created":"2022-03-23","cited_by_count":11,"area":null},{"id":"2309.08250","title":"Optimization of Rank Losses for Image Retrieval","created":"2023-09-15","cited_by_count":10,"area":null},{"id":"2404.15523","title":"Understanding Hyperbolic Metric Learning through Hard Negative Sampling","created":"2024-04-23","cited_by_count":10,"area":null},{"id":"2105.01695","title":"Effectively Leveraging Attributes for Visual Similarity","created":"2021-05-04","cited_by_count":9,"area":null},{"id":"2210.04402","title":"Contrastive Bayesian Analysis for Deep Metric Learning","created":"2022-10-10","cited_by_count":8,"area":null},{"id":"2309.09982","title":"Introspective Deep Metric Learning","created":"2023-09-11","cited_by_count":7,"area":null},{"id":"2102.04223","title":"Multi-level Distance Regularization for Deep Metric Learning","created":"2021-02-08","cited_by_count":6,"area":null},{"id":"2102.11099","title":"RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection","created":"2021-02-22","cited_by_count":6,"area":null},{"id":"2204.01509","title":"The Group Loss++: A deeper look into group loss for deep metric learning","created":"2022-04-04","cited_by_count":6,"area":null},{"id":"2308.00458","title":"Center Contrastive Loss for Metric Learning","created":"2023-08-01","cited_by_count":4,"area":null},{"id":"2501.09238","title":"Mono-Forward: Revisiting Forward-Forward through Objective-Locality Decomposition","created":"2025-01-16","cited_by_count":4,"area":null},{"id":"2209.09060","title":"Deep Metric Learning with Chance Constraints","created":"2022-09-19","cited_by_count":3,"area":null},{"id":"2111.07139","title":"Full-attention based Neural Architecture Search using Context Auto-regression","created":"2021-11-13","cited_by_count":2,"area":null},{"id":"2201.01008","title":"Learning to Generate Novel Classes for Deep Metric Learning","created":"2022-01-04","cited_by_count":1,"area":null},{"id":"2308.09228","title":"Generalized Sum Pooling for Metric Learning","created":"2023-08-18","cited_by_count":1,"area":null},{"id":"2212.00470","title":"Embracing Annotation Efficient Learning (AEL) for Digital Pathology and Natural Images","created":"2022-12-01","cited_by_count":0,"area":null},{"id":"2604.06129","title":"PoM: A Linear-Time Replacement for Attention with the Polynomial Mixer","created":"2026-04-07","cited_by_count":0,"area":null},{"id":"2610.10991","title":"Region-Aware CLS Token Augmentation for Fine-Grained Image Retrieval","created":"2026-10-07","cited_by_count":0,"area":null}],"next_cursor":null}