msight-tech / research-ms-lossLinks
MS-Loss: Multi-Similarity Loss for Deep Metric Learning
☆499Updated 2 years ago
Alternatives and similar repositories for research-ms-loss
Users that are interested in research-ms-loss are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation for Deep Metric Learning Pipelines☆575Updated 5 years ago
- Deep Metric Learning☆782Updated 5 years ago
- XBM: Cross-Batch Memory for Embedding Learning☆311Updated 2 years ago
- A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).☆282Updated last year
- (ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning"…☆344Updated 3 years ago
- Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"☆470Updated 5 years ago
- PyTorch Implementation for SoftTriple Loss☆209Updated last year
- PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss☆254Updated 7 years ago
- Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020☆322Updated 3 years ago
- Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature☆210Updated 6 years ago
- The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition☆668Updated 2 years ago
- [ ECCV 2020 Spotlight ] Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets"☆370Updated 3 years ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆612Updated 3 years ago
- Unsupervised Feature Learning via Non-parametric Instance Discrimination☆754Updated 4 years ago
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆569Updated last year
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆866Updated 3 years ago
- The Pytorch Implementation of L-Softmax☆189Updated 6 years ago
- ☆378Updated 6 years ago
- Implementation of the mixup training method☆466Updated 7 years ago
- Pytorch implementation of Center Loss☆991Updated 2 years ago
- code for the ECCV '20 paper "Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval"☆200Updated 4 years ago
- re-implementation of triplet loss and triplet mining strategies (batch all and batch hard)☆42Updated 6 years ago
- A PyTorch implementation of center loss on MNIST☆359Updated 6 years ago
- PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`.☆183Updated 5 years ago
- Efficient Diffusion for Image Retrieval☆222Updated 5 years ago
- PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"☆349Updated 4 years ago
- Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019☆403Updated 4 years ago
- Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)☆493Updated last year
- [ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.☆479Updated last year
- Trilinear Attention Sampling Network for Fine-grained Image Recognition☆218Updated 3 years ago