PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`
☆184May 18, 2020Updated 5 years ago
Alternatives and similar repositories for proxy-nca
Users that are interested in proxy-nca are comparing it to the libraries listed below
Sorting:
- Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020☆324May 17, 2022Updated 3 years ago
- Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019☆264Oct 24, 2019Updated 6 years ago
- (ICCV 2019) This repo contains code for "MIC: Mining Interclass Characteristics for Improved Metric Learning", which proposes an auxiliar…☆63Jun 12, 2020Updated 5 years ago
- Deep Metric Learning☆781Aug 10, 2020Updated 5 years ago
- Metric learning models in PyTorch with results on CUB2011, CARS196, Stanford Online Products☆67Jan 17, 2022Updated 4 years ago
- PyTorch Implementation for SoftTriple Loss☆211Jul 22, 2024Updated last year
- (ECCV 2020) This repo contains code for "DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning" (https://arxiv.org/abs/2004.1…☆36Dec 5, 2021Updated 4 years ago
- The implementation of ProxyNCA++.☆54Oct 29, 2021Updated 4 years ago
- Implementation of Hardness-Aware Deep Metric Learning (CVPR 2019 Oral) in Tensorflow.☆150Apr 3, 2020Updated 5 years ago
- PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)☆67Jun 15, 2020Updated 5 years ago
- Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)☆169Nov 25, 2022Updated 3 years ago
- PyTorch Implementation for Deep Metric Learning Pipelines☆576Jun 17, 2020Updated 5 years ago
- Code repository for our paper entilted "Metric Learning with HORDE: High-Order Regularizer for Deep Embeddings" accepted at ICCV 2019.☆84Mar 25, 2023Updated 2 years ago
- MS-Loss: Multi-Similarity Loss for Deep Metric Learning☆498Dec 27, 2022Updated 3 years ago
- Deep metric learning methods implemented in Chainer☆158Jul 12, 2018Updated 7 years ago
- (ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning"…☆346Apr 25, 2022Updated 3 years ago
- Official PyTorch Implementation of ProxyGML Loss for Deep Metric Learning, NeurIPS 2020 (spotlight)☆58Apr 28, 2021Updated 4 years ago
- This repository contains the code for our CVPR 2022 paper on "Non-isotropy Regularization for Proxy-based Deep Metric Learning".☆15Mar 10, 2023Updated 2 years ago
- Code for CVPR 2019 paper "Deep Metric Learning to Rank"☆97Sep 21, 2021Updated 4 years ago
- XBM: Cross-Batch Memory for Embedding Learning☆317Dec 27, 2022Updated 3 years ago
- ☆11Dec 18, 2018Updated 7 years ago
- Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature☆210Jun 29, 2019Updated 6 years ago
- (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …☆63Jun 12, 2020Updated 5 years ago
- Improving Generalization via Scalable Neighborhood Component Analysis☆137Jun 12, 2023Updated 2 years ago
- official pytorch implementation of "Deep Metric Learning with Spherical Embedding", NeurIPS 2020☆42Nov 28, 2020Updated 5 years ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,311Aug 17, 2025Updated 6 months ago
- "Efficient end-to-end learning for quantizable representations" accepted at ICML2018☆66Aug 7, 2018Updated 7 years ago
- Official code for "The Group Loss for Deep Metric Learning" paper (ECCV 2020)☆52Aug 23, 2020Updated 5 years ago
- Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)☆38Dec 19, 2021Updated 4 years ago
- Official PyTorch Implementation of Self-Taught Metric Learning without Labels, CVPR 2022☆40Apr 22, 2023Updated 2 years ago
- Main repository for Sampling Wisely: Deep Image by Top-k Precision Optimization☆40Oct 19, 2019Updated 6 years ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆587Oct 12, 2021Updated 4 years ago
- Codes for our CVPR 2021 paper "Deep Compositional Metric Learning"☆21Aug 23, 2021Updated 4 years ago
- PyTorch implementation for Histogram Loss☆193Apr 2, 2019Updated 6 years ago
- Main repository for Deep Metric Learning via Lifted Structured Feature Embedding☆347Sep 15, 2019Updated 6 years ago
- Unsupervised Feature Learning via Non-parametric Instance Discrimination☆759Mar 25, 2021Updated 4 years ago
- Cleaned up reference implementation of BIER: Boosting Independent Embeddings Robustly.☆39Feb 21, 2018Updated 8 years ago
- Boundaries and Region Representation Fusion☆12Mar 24, 2023Updated 2 years ago
- [Ongoing Project] Codebase for network quantization study.☆12May 20, 2020Updated 5 years ago