Confusezius / Revisiting_Deep_Metric_Learning_PyTorchLinks
(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.
☆344Updated 3 years ago
Alternatives and similar repositories for Revisiting_Deep_Metric_Learning_PyTorch
Users that are interested in Revisiting_Deep_Metric_Learning_PyTorch are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation for Deep Metric Learning Pipelines☆575Updated 5 years ago
- Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020☆322Updated 3 years ago
- A library for ML benchmarking. It's powerful.☆439Updated last year
- MS-Loss: Multi-Similarity Loss for Deep Metric Learning☆499Updated 2 years ago
- PyTorch Implementation for SoftTriple Loss☆209Updated last year
- Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)☆169Updated 2 years ago
- Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature☆210Updated 6 years ago
- PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`.☆183Updated 5 years ago
- XBM: Cross-Batch Memory for Embedding Learning☆311Updated 2 years ago
- Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)☆542Updated last year
- Deep Metric Learning☆782Updated 5 years ago
- ☆102Updated 2 years ago
- SSL-FEW-SHOT☆172Updated 5 years ago
- ☆129Updated 2 years ago
- Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification. This is a ServiceNow Research project that was started…☆211Updated 3 years ago
- "Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Eh…☆229Updated 5 years ago
- PyTorch conversion of https://omoindrot.github.io/triplet-loss☆213Updated 2 years ago
- Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019☆265Updated 5 years ago
- Implements the unsupervised pre-training of convolutional neural networks☆252Updated 3 years ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆612Updated 3 years ago
- NeurIPS 2020, Debiased Contrastive Learning☆282Updated 2 years ago
- A Pytorch-Lightning implementation of self-supervised algorithms☆543Updated 3 years ago
- PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss☆254Updated 7 years ago
- Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning☆120Updated last year
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆400Updated 5 years ago
- (ICCV 2019) This repo contains code for "MIC: Mining Interclass Characteristics for Improved Metric Learning", which proposes an auxiliar…☆62Updated 5 years ago
- CVPR 2019: Ranked List Loss for Deep Metric Learning, with extension for TPAMI submission☆66Updated 5 years ago
- Unofficial PyTorch Implementation of Unsupervised Data Augmentation.☆147Updated 4 years ago
- A PyTorch converter for SimCLR checkpoints☆108Updated 4 years ago
- Code for reproducing Manifold Mixup results (ICML 2019)☆494Updated last year