metric learning

Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation CVPR 2021 Hierarchical Semantic Segmentation using Psychometric Learning ACML 2021 How can classical multidimensional scaling go wrong? NeurIPS 2021 How Shift Equivariance Impacts Metric Learning for Instance Segmentation ICCV 2021 ID-Reveal: Identity-Aware DeepFake Video Detection ICCV 2021 Independent Prototype Propagation for Zero-Shot Compositionality NeurIPS 2021 Isometric Gaussian Process Latent Variable Model for Dissimilarity Data ICML 2021 Keypoint-Aligned Embeddings for Image Retrieval and Re-Identification WACV 2021 Knowledge Guided Metric Learning for Few-Shot Text Classification NAACL 2021 Language Model Augmented Relevance Score ACL 2021 Large-Margin Contrastive Learning with Distance Polarization Regularizer ICML 2021 LayoutGMN: Neural Graph Matching for Structural Layout Similarity CVPR 2021 Learning a Few-shot Embedding Model with Contrastive Learning AAAI 2021 Learning Compact Metrics for MT EMNLP 2021 Learning Compatible Embeddings ICCV 2021 Learning Deep Local Features With Multiple Dynamic Attentions for Large-Scale Image Retrieval ICCV 2021 Learning Hybrid Relationships for Person Re-identification AAAI 2021 Learning Matching Representations for Individualized Organ Transplantation Allocation AISTATS 2021 Learn The Big Picture: Representation Learning for Clustering ACL 2021 Looking Wider for Better Adaptive Representation in Few-Shot Learning AAAI 2021 MagFace: A Universal Representation for Face Recognition and Quality Assessment CVPR 2021 Manifold Matching via Deep Metric Learning for Generative Modeling ICCV 2021 Masked Proxy Loss for Text-Independent Speaker Verification Interspeech 2021 Measuring Similarity of Opinion-bearing Sentences EMNLP 2021 Meta-learning for Classifying Previously Unseen Data Source into Previously Unseen Emotional Categories ACL 2021