NegatioN / OnlineMiningTripletLoss
PyTorch conversion of https://omoindrot.github.io/triplet-loss
☆212Updated 2 years ago
Alternatives and similar repositories for OnlineMiningTripletLoss:
Users that are interested in OnlineMiningTripletLoss are comparing it to the libraries listed below
- (ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning"…☆341Updated 3 years ago
- Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)☆488Updated last year
- MS-Loss: Multi-Similarity Loss for Deep Metric Learning☆497Updated 2 years ago
- Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020☆320Updated 2 years ago
- PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss☆255Updated 6 years ago
- PyTorch Implementation for SoftTriple Loss☆205Updated 9 months ago
- Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️☆116Updated 2 years ago
- Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature☆210Updated 5 years ago
- Deep Metric Learning☆780Updated 4 years ago
- Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019☆264Updated 5 years ago
- PyTorch Implementation for Deep Metric Learning Pipelines☆572Updated 4 years ago
- Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)☆168Updated 2 years ago
- ☆102Updated 2 years ago
- PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`.☆181Updated 4 years ago
- XBM: Cross-Batch Memory for Embedding Learning☆309Updated 2 years ago
- The Pytorch Implementation of L-Softmax☆188Updated 6 years ago
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆335Updated 4 years ago
- A library for ML benchmarking. It's powerful.☆438Updated last year
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆609Updated 3 years ago
- Pytorch implementation of Center Loss☆987Updated 2 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆797Updated last year
- Semi-supervised ImageNet1K models☆243Updated 5 years ago
- PyTorch implementation of AdaCos☆212Updated 4 years ago
- Implements the unsupervised pre-training of convolutional neural networks☆250Updated 3 years ago
- ☆376Updated 5 years ago
- Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"☆464Updated 5 years ago
- A PyTorch implementation of center loss on MNIST☆360Updated 6 years ago
- a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.☆169Updated 2 years ago
- SSL-FEW-SHOT☆172Updated 5 years ago
- Efficient Diffusion for Image Retrieval☆222Updated 5 years ago