discriminative representation

Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling AAAI 2025 CLE-ViT: Contrastive Learning Encoded Transformer for Ultra-Fine-Grained Visual Categorization IJCAI 2023 Cross-Modality Earth Mover’s Distance for Visible Thermal Person Re-identification AAAI 2023 Fine-Grained Retrieval Prompt Tuning AAAI 2023 Learning Discriminative Representations for Skeleton Based Action Recognition CVPR 2023 RGMIL: Guide Your Multiple-Instance Learning Model with Regressor NeurIPS 2023 Two-Stage Co-Segmentation Network Based on Discriminative Representation for Recovering Human Mesh From Videos CVPR 2023 Code Vulnerability Detection via Nearest Neighbor Mechanism EMNLP 2022 Learning Discriminative Representations for Open Relation Extraction with Instance Ranking and Label Calibration NAACL 2022 ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction JMLR 2022 Towards Discriminative Representation: Multi-View Trajectory Contrastive Learning for Online Multi-Object Tracking CVPR 2022 Towards Discriminative Representation Learning for Unsupervised Person Re-Identification ICCV 2021 Towards Learning Spatially Discriminative Feature Representations ICCV 2021 Conditional Gaussian Distribution Learning for Open Set Recognition CVPR 2020 Joint Partial Optimal Transport for Open Set Domain Adaptation IJCAI 2020 Learning Attentive Pairwise Interaction for Fine-Grained Classification AAAI 2020 Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction NeurIPS 2020 Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition CVPR 2019 Towards Discriminative Representations and Unbiased Predictions: Class-Specific Angular Softmax for Speech Emotion Recognition Interspeech 2019 Active Discriminative Network Representation Learning IJCAI 2018 Discriminative Learning of Latent Features for Zero-Shot Recognition CVPR 2018