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triplet loss

195 papers

Papers

SeqMatchNet: Contrastive Learning with Sequence Matching for Place Recognition & Relocalization CoRL 2021 Set Augmented Triplet Loss for Video Person Re-Identification WACV 2021 ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification AAAI 2021 Solving Inefficiency of Self-Supervised Representation Learning ICCV 2021 Understanding and Mitigating Annotation Bias in Facial Expression Recognition ICCV 2021 An Effective Speaker Recognition Method Based on Joint Identification and Verification Supervisions Interspeech 2020 A Proposal-Based Approach for Activity Image-to-Video Retrieval AAAI 2020 Boosting Standard Classification Architectures Through a Ranking Regularizer WACV 2020 Circle Loss: A Unified Perspective of Pair Similarity Optimization CVPR 2020 Crossmodal Sound Retrieval Based on Specific Target Co-Occurrence Denoted with Weak Labels Interspeech 2020 Deep Self-Supervised Hierarchical Clustering for Speaker Diarization Interspeech 2020 Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding AACL 2020 Federated Meta-Learning for Fraudulent Credit Card Detection IJCAI 2020 Generalized Zero-Shot Learning via Over-Complete Distribution CVPR 2020 Hierarchical Clustering With Hard-Batch Triplet Loss for Person Re-Identification CVPR 2020 HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss NeurIPS 2020 In Defence of Metric Learning for Speaker Recognition Interspeech 2020 Joint Representation Learning of Legislator and Legislation for Roll Call Prediction IJCAI 2020 Ladder Loss for Coherent Visual-Semantic Embedding AAAI 2020 Large Scale Video Representation Learning via Relational Graph Clustering CVPR 2020 Multi-task Batch Reinforcement Learning with Metric Learning NeurIPS 2020 PADS: Policy-Adapted Sampling for Visual Similarity Learning CVPR 2020 Phonetically-Aware Coupled Network For Short Duration Text-Independent Speaker Verification Interspeech 2020 RankMI: A Mutual Information Maximizing Ranking Loss CVPR 2020 Self-adaptive Re-weighted Adversarial Domain Adaptation IJCAI 2020