deep metric learning

Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning ICLR 2022 It Takes Two to Tango: Mixup for Deep Metric Learning ICLR 2022 Learning Geolocations for Cold-Start and Hard-to-Resolve Addresses via Deep Metric Learning EMNLP 2022 Lexical Entailment with Hierarchy Representations by Deep Metric Learning EMNLP 2022 Memory-Based Jitter: Improving Visual Recognition on Long-Tailed Data with Diversity in Memory AAAI 2022 Multi-Head Deep Metric Learning Using Global and Local Representations WACV 2022 Multi-Proxy Learning from an Entropy Optimization Perspective IJCAI 2022 Non-Isotropy Regularization for Proxy-Based Deep Metric Learning CVPR 2022 SeeTek: Very Large-Scale Open-Set Logo Recognition With Text-Aware Metric Learning WACV 2022 Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition WACV 2022 Variational Continual Proxy-Anchor for Deep Metric Learning AISTATS 2022 Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning NeurIPS 2021 Compositional Learning of Image-Text Query for Image Retrieval WACV 2021 Deep Compositional Metric Learning CVPR 2021 Deep Metric Learning for Open World Semantic Segmentation ICCV 2021 Deep Metric Learning with Graph Consistency AAAI 2021 Deep Metric Learning with Self-Supervised Ranking AAAI 2021 Do Different Deep Metric Learning Losses Lead to Similar Learned Features? ICCV 2021 Dynamic Metric Learning: Towards a Scalable Metric Space To Accommodate Multiple Semantic Scales CVPR 2021 Facial Expression Recognition in the Wild via Deep Attentive Center Loss WACV 2021 Hierarchical Semantic Segmentation using Psychometric Learning ACML 2021 Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding ICCV 2021 Learning Intra-Batch Connections for Deep Metric Learning ICML 2021 Learning With Memory-Based Virtual Classes for Deep Metric Learning ICCV 2021 LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning ICCV 2021