A comprehensive survey of deep metric learning and related works
😎 A curated list of awesome practical Metric Learning and its applications
A library for ML benchmarking. It's powerful.
Official pytorch Implementation of Relational Knowledge Distillation, CV...
(ICML 2020) This repo contains code for our paper "Revisiting Training S...
Official source code of "Batch DropBlock Network for Person Re-identific...
CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View
A PyTorch framework for an image retrieval task including implementation...
Source code for the paper "Divide and Conquer the Embedding Space for Me...
PyTorch implementation of a deep metric learning technique called "Magne...
[ECCV 2020] QAConv: Interpretable and Generalizable Person Re-Identifica...
Deep metric learning methods implemented in Chainer
SegSort: Segmentation by Discriminative Sorting of Segments
[NAACL'21 & ACL'21] SapBERT: Self-alignment pretraining for BERT & XL-BE...
DeeplyTough: Learning Structural Comparison of Protein Binding Sites