contrastive loss

Learning to See by Looking at Noise NeurIPS 2021 Memory-Guided Unsupervised Image-to-Image Translation CVPR 2021 Multi-Level Transfer Learning from Near-Field to Far-Field Speaker Verification Interspeech 2021 Multimodal Contrastive Training for Visual Representation Learning CVPR 2021 Nearest Neighbor Matching for Deep Clustering CVPR 2021 Nuc2Vec: Learning Representations of Nuclei in Histopathology Images with Contrastive Loss MIDL 2021 Proposal Learning for Semi-Supervised Object Detection WACV 2021 Supervised Tree-Wasserstein Distance ICML 2021 Understanding the Behaviour of Contrastive Loss CVPR 2021 Whitening for Self-Supervised Representation Learning ICML 2021 Cross-Batch Memory for Embedding Learning CVPR 2020 Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features CVPR 2020 Self-Supervised Relational Reasoning for Representation Learning NeurIPS 2020 Weakly Supervised Local-Global Relation Network for Facial Expression Recognition IJCAI 2020 Deep Metric Learning by Online Soft Mining and Class-Aware Attention AAAI 2019 Deep Metric Learning With Tuplet Margin Loss ICCV 2019 Graphical Contrastive Losses for Scene Graph Parsing CVPR 2019 Multimodal and Multi-view Models for Emotion Recognition ACL 2019 Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization NeurIPS 2018 Siamese CNN-BiLSTM Architecture for 3D Shape Representation Learning IJCAI 2018 Improved Deep Metric Learning with Multi-class N-pair Loss Objective NeurIPS 2016 Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video CVPR 2016