{"total":22,"rows":[{"id":"2111.07632","title":"CoReS: Compatible Representations via Stationarity","created":"2021-11-15","cited_by_count":14,"area":null},{"id":"2403.01431","title":"Image2Sentence based Asymmetrical Zero-shot Composed Image Retrieval","created":"2024-03-03","cited_by_count":14,"area":null},{"id":"2305.02610","title":"Boundary-aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval","created":"2023-05-04","cited_by_count":11,"area":null},{"id":"2108.02959","title":"Dual-Tuning: Joint Prototype Transfer and Structure Regularization for Compatible Feature Learning","created":"2021-08-06","cited_by_count":9,"area":null},{"id":"2201.09724","title":"Hot-Refresh Model Upgrades with Regression-Alleviating Compatible Training in Image Retrieval","created":"2022-01-24","cited_by_count":7,"area":null},{"id":"2303.04766","title":"FastFill: Efficient Compatible Model Update","created":"2023-03-08","cited_by_count":7,"area":null},{"id":"2312.09716","title":"Let All be Whitened: Multi-teacher Distillation for Efficient Visual Retrieval","created":"2023-12-15","cited_by_count":7,"area":null},{"id":"2301.03767","title":"Metric Compatible Training for Online Backfilling in Large-Scale Retrieval","created":"2023-01-10","cited_by_count":6,"area":null},{"id":"2302.02080","title":"Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion","created":"2023-02-04","cited_by_count":6,"area":null},{"id":"2302.08714","title":"Binary Embedding-based Retrieval at Tencent","created":"2023-02-17","cited_by_count":6,"area":null},{"id":"2210.06954","title":"Darwinian Model Upgrades: Model Evolving with Selective Compatibility","created":"2022-10-13","cited_by_count":5,"area":null},{"id":"2210.05463","title":"Large-to-small Image Resolution Asymmetry in Deep Metric Learning","created":"2022-10-11","cited_by_count":4,"area":null},{"id":"2408.08793","title":"Backward-Compatible Aligned Representations via an Orthogonal Transformation Layer","created":"2024-08-16","cited_by_count":3,"area":null},{"id":"2210.00136","title":"IMB-NAS: Neural Architecture Search for Imbalanced Datasets","created":"2022-09-30","cited_by_count":2,"area":null},{"id":"2403.00648","title":"Structure Similarity Preservation Learning for Asymmetric Image Retrieval","created":"2024-03-01","cited_by_count":2,"area":null},{"id":"2512.13055","title":"Towards Test-time Efficient Visual Place Recognition via Asymmetric Query Processing","created":"2025-12-15","cited_by_count":2,"area":null},{"id":"2406.16972","title":"An Efficient NAS-based Approach for Handling Imbalanced Datasets","created":"2024-06-22","cited_by_count":1,"area":null},{"id":"2606.12488","title":"A Stationary (and Therefore Compatible) Representation is All You Need","created":"2026-06-10","cited_by_count":1,"area":null},{"id":"2209.13740","title":"Towards Regression-Free Neural Networks for Diverse Compute Platforms","created":"2022-09-27","cited_by_count":0,"area":null},{"id":"2310.09563","title":"Learning Unified Representations for Multi-Resolution Face Recognition","created":"2023-10-14","cited_by_count":0,"area":null},{"id":"2504.11879","title":"Learning Compatible Multi-Prize Subnetworks for Asymmetric Retrieval","created":"2025-04-16","cited_by_count":0,"area":null},{"id":"2604.09445","title":"AsymLoc: Towards Asymmetric Feature Matching for Efficient Visual Localization","created":"2026-04-10","cited_by_count":0,"area":null}],"next_cursor":null}