{"total":100,"rows":[{"id":"2106.08265","title":"Towards Total Recall in Industrial Anomaly Detection","created":"2021-06-15","cited_by_count":776,"area":null},{"id":"2112.12777","title":"Cross Modal Retrieval with Querybank Normalisation","created":"2021-12-23","cited_by_count":72,"area":null},{"id":"2103.12236","title":"Instance-level Image Retrieval using Reranking Transformers","created":"2021-03-22","cited_by_count":63,"area":null},{"id":"2105.01017","title":"Learning Graph Embeddings for Open World Compositional Zero-Shot Learning","created":"2021-05-03","cited_by_count":49,"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":"2112.04731","title":"Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning","created":"2021-12-09","cited_by_count":49,"area":null},{"id":"2306.07969","title":"GeneCIS: A Benchmark for General Conditional Image Similarity","created":"2023-06-13","cited_by_count":47,"area":null},{"id":"2210.00226","title":"Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning","created":"2022-10-01","cited_by_count":46,"area":null},{"id":"2203.00972","title":"Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training","created":"2022-03-02","cited_by_count":45,"area":null},{"id":"2303.17093","title":"OpenMix: Exploring Outlier Samples for Misclassification Detection","created":"2023-03-30","cited_by_count":38,"area":null},{"id":"2210.07347","title":"Disentanglement of Correlated Factors via Hausdorff Factorized Support","created":"2022-10-13","cited_by_count":37,"area":null},{"id":"2104.05763","title":"Few-shot Intent Classification and Slot Filling with Retrieved Examples","created":"2021-04-12","cited_by_count":35,"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":"2105.11605","title":"TransLoc3D : Point Cloud based Large-scale Place Recognition using Adaptive Receptive Fields","created":"2021-05-25","cited_by_count":29,"area":null},{"id":"2407.02422","title":"Close, But Not There: Boosting Geographic Distance Sensitivity in Visual Place Recognition","created":"2024-07-02","cited_by_count":27,"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":"2103.16940","title":"Learning with Memory-based Virtual Classes for Deep Metric Learning","created":"2021-03-31","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":"2310.17653","title":"Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model","created":"2023-10-26","cited_by_count":19,"area":null},{"id":"2103.15454","title":"Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning","created":"2021-03-29","cited_by_count":17,"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":"2205.13384","title":"Continual Learning for Visual Search with Backward Consistent Feature Embedding","created":"2022-05-26","cited_by_count":17,"area":null},{"id":"2307.03810","title":"URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates","created":"2023-07-07","cited_by_count":17,"area":null},{"id":"2408.03282","title":"AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level Retrieval","created":"2024-08-06","cited_by_count":16,"area":null},{"id":"2206.11225","title":"RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval","created":"2022-06-17","cited_by_count":15,"area":null},{"id":"2205.01903","title":"Self-Taught Metric Learning without Labels","created":"2022-05-04","cited_by_count":13,"area":null},{"id":"2403.16398","title":"Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data","created":"2024-03-25","cited_by_count":13,"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":"2203.01439","title":"Enhancing Adversarial Robustness for Deep Metric Learning","created":"2022-03-02","cited_by_count":10,"area":null},{"id":"2308.12510","title":"Masked Autoencoders are Efficient Class Incremental Learners","created":"2023-08-24","cited_by_count":10,"area":null},{"id":"2103.05248","title":"Practical Relative Order Attack in Deep Ranking","created":"2021-03-09","cited_by_count":9,"area":null},{"id":"2401.00617","title":"Towards Improved Proxy-based Deep Metric Learning via Data-Augmented Domain Adaptation","created":"2024-01-01","cited_by_count":9,"area":null},{"id":"2506.16506","title":"Subspace-Boosted Model Merging","created":"2025-06-19","cited_by_count":9,"area":null},{"id":"2106.03614","title":"Adversarial Attack and Defense in Deep Ranking","created":"2021-06-07","cited_by_count":8,"area":null},{"id":"2202.06768","title":"Probabilistic Embeddings Revisited","created":"2022-02-14","cited_by_count":8,"area":null},{"id":"2307.04047","title":"Threshold-Consistent Margin Loss for Open-World Deep Metric Learning","created":"2023-07-08","cited_by_count":7,"area":null},{"id":"2103.00370","title":"Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning","created":"2021-02-28","cited_by_count":6,"area":null},{"id":"2205.02698","title":"Do Different Deep Metric Learning Losses Lead to Similar Learned Features?","created":"2022-05-05","cited_by_count":6,"area":null},{"id":"2211.15107","title":"A Light Touch Approach to Teaching Transformers Multi-view Geometry","created":"2022-11-28","cited_by_count":6,"area":null},{"id":"2407.19752","title":"Contextuality Helps Representation Learning for Generalized Category Discovery","created":"2024-07-29","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":"2109.04003","title":"Improving Deep Metric Learning by Divide and Conquer","created":"2021-09-09","cited_by_count":5,"area":null},{"id":"2208.00119","title":"DAS: Densely-Anchored Sampling for Deep Metric Learning","created":"2022-07-30","cited_by_count":5,"area":null},{"id":"2211.12760","title":"InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images","created":"2022-11-23","cited_by_count":5,"area":null},{"id":"2102.04640","title":"Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough","created":"2021-02-09","cited_by_count":4,"area":null},{"id":"2102.07265","title":"Exploring Adversarial Robustness of Deep Metric Learning","created":"2021-02-14","cited_by_count":4,"area":null},{"id":"2201.02772","title":"A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal Retrieval","created":"2022-01-08","cited_by_count":4,"area":"mllm"},{"id":"2208.08056","title":"Sampling Through the Lens of Sequential Decision Making","created":"2022-08-17","cited_by_count":4,"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":"2308.00458","title":"Center Contrastive Loss for Metric Learning","created":"2023-08-01","cited_by_count":4,"area":null},{"id":"2308.04650","title":"Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals","created":"2023-08-09","cited_by_count":4,"area":null},{"id":"2311.18575","title":"Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations","created":"2023-11-30","cited_by_count":4,"area":null},{"id":"2403.18266","title":"Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning","created":"2024-03-27","cited_by_count":4,"area":null},{"id":"2405.06415","title":"Generalization analysis with deep ReLU networks for metric and similarity learning","created":"2024-05-10","cited_by_count":4,"area":null},{"id":"2405.18560","title":"Potential Field Based Deep Metric Learning","created":"2024-05-28","cited_by_count":4,"area":null},{"id":"2103.14003","title":"Rethinking Deep Contrastive Learning with Embedding Memory","created":"2021-03-25","cited_by_count":3,"area":null},{"id":"2106.07138","title":"Self-Supervised Metric Learning in Multi-View Data: A Downstream Task Perspective","created":"2021-06-14","cited_by_count":3,"area":null},{"id":"2206.02029","title":"Guided Deep Metric Learning","created":"2022-06-04","cited_by_count":3,"area":null},{"id":"2209.09060","title":"Deep Metric Learning with Chance Constraints","created":"2022-09-19","cited_by_count":3,"area":null},{"id":"2408.14153","title":"Explaining Caption-Image Interactions in CLIP Models with Second-Order Attributions","created":"2024-08-26","cited_by_count":3,"area":null},{"id":"2105.05061","title":"Semi-Supervised Metric Learning: A Deep Resurrection","created":"2021-05-10","cited_by_count":2,"area":null},{"id":"2112.02259","title":"Construct Informative Triplet with Two-stage Hard-sample Generation","created":"2021-12-04","cited_by_count":2,"area":null},{"id":"2302.03432","title":"SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation","created":"2023-02-07","cited_by_count":2,"area":null},{"id":"2303.00181","title":"Selectively Hard Negative Mining for Alleviating Gradient Vanishing in Image-Text Matching","created":"2023-03-01","cited_by_count":2,"area":null},{"id":"2307.07620","title":"Generalizable Embeddings with Cross-batch Metric Learning","created":"2023-07-14","cited_by_count":2,"area":null},{"id":"2311.00668","title":"ProcSim: Proxy-based Confidence for Robust Similarity Learning","created":"2023-11-01","cited_by_count":2,"area":null},{"id":"2312.07364","title":"Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval","created":"2023-12-12","cited_by_count":2,"area":null},{"id":"2404.06653","title":"FlameFinder: Illuminating Obscured Fire through Smoke with Attentive Deep Metric Learning","created":"2024-04-09","cited_by_count":2,"area":null},{"id":"2505.21905","title":"Reference-Guided Identity Preserving Face Restoration","created":"2025-05-28","cited_by_count":2,"area":"diffusion"},{"id":"2202.04109","title":"Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs","created":"2022-02-08","cited_by_count":1,"area":null},{"id":"2206.08880","title":"Improving Generalization of Metric Learning via Listwise Self-distillation","created":"2022-06-17","cited_by_count":1,"area":"distill"},{"id":"2207.10157","title":"Visual Knowledge Tracing","created":"2022-07-20","cited_by_count":1,"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":"2211.03183","title":"Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection","created":"2022-11-06","cited_by_count":1,"area":null},{"id":"2301.06077","title":"MN-Pair Contrastive Damage Representation and Clustering for Prognostic Explanation","created":"2023-01-15","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":"2308.14075","title":"FaceCoresetNet: Differentiable Coresets for Face Set Recognition","created":"2023-08-27","cited_by_count":1,"area":null},{"id":"2403.18291","title":"Towards Non-Exemplar Semi-Supervised Class-Incremental Learning","created":"2024-03-27","cited_by_count":1,"area":null},{"id":"2408.14281","title":"Uncertainties of Latent Representations in Computer Vision","created":"2024-08-26","cited_by_count":1,"area":null},{"id":"2410.11271","title":"Tackling Dimensional Collapse toward Comprehensive Universal Domain Adaptation","created":"2024-10-15","cited_by_count":1,"area":null},{"id":"2503.07082","title":"On the Generalization of Representation Uncertainty in Earth Observation","created":"2025-03-10","cited_by_count":1,"area":null},{"id":"2503.13045","title":"All You Need to Know About Training Image Retrieval Models","created":"2025-03-17","cited_by_count":1,"area":null},{"id":"2510.09171","title":"Instance-Level Generation for Representation Learning","created":"2025-10-10","cited_by_count":1,"area":null},{"id":"2112.11743","title":"Simple and Effective Balance of Contrastive Losses","created":"2021-12-22","cited_by_count":0,"area":null},{"id":"2209.14385","title":"Feature Decoupling in Self-supervised Representation Learning for Open Set Recognition","created":"2022-09-28","cited_by_count":0,"area":null},{"id":"2210.09506","title":"No Pairs Left Behind: Improving Metric Learning with Regularized Triplet Objective","created":"2022-10-18","cited_by_count":0,"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":"2211.16253","title":"Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples","created":"2022-11-29","cited_by_count":0,"area":null},{"id":"2302.14616","title":"Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error","created":"2023-02-28","cited_by_count":0,"area":null},{"id":"2306.13357","title":"Catching Image Retrieval Generalization","created":"2023-06-23","cited_by_count":0,"area":null},{"id":"2309.13810","title":"Boundary-Aware Proposal Generation Method for Temporal Action Localization","created":"2023-09-25","cited_by_count":0,"area":null},{"id":"2405.13692","title":"Challenging Gradient Boosted Decision Trees with Tabular Transformers for Fraud Detection at Booking.com","created":"2024-05-22","cited_by_count":0,"area":null},{"id":"2407.03106","title":"Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate Metric","created":"2024-07-03","cited_by_count":0,"area":null},{"id":"2412.12432","title":"Three Things to Know about Deep Metric Learning","created":"2024-12-17","cited_by_count":0,"area":null},{"id":"2509.08926","title":"Similarity-based Outlier Detection for Noisy Object Re-Identification Using Beta Mixtures","created":"2025-09-10","cited_by_count":0,"area":null},{"id":"2601.20246","title":"BLENDER: Blended Text Embeddings and Diffusion Residuals for Intra-Class Image Synthesis in Deep Metric Learning","created":"2026-01-28","cited_by_count":0,"area":null},{"id":"2605.15171","title":"Evidential Reasoning Advances Interpretable Real-World Disease Screening","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2610.06919","title":"Anchor Divergence for Semantic Geometry in Contrastive Learning","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}