PyTorch Implementation for SoftTriple Loss
☆209Jul 22, 2024Updated last year
Alternatives and similar repositories for SoftTriple
Users that are interested in SoftTriple are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020☆324May 17, 2022Updated 3 years ago
- The implementation of ProxyNCA++.☆54Oct 29, 2021Updated 4 years ago
- Tensorflow implementation of SoftTriple Loss: Deep Metric Learning Without Triplet Sampling☆10Sep 26, 2019Updated 6 years ago
- PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`☆184May 18, 2020Updated 5 years ago
- XBM: Cross-Batch Memory for Embedding Learning☆316Dec 27, 2022Updated 3 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☆496Dec 27, 2022Updated 3 years ago
- PyTorch Implementation for Deep Metric Learning Pipelines☆576Jun 17, 2020Updated 5 years ago
- Deep Metric Learning☆779Aug 10, 2020Updated 5 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
- (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
- 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
- (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
- Official PyTorch Implementation of Embedding Transfer with Label Relaxation for Improved Metric Learning, CVPR 2021☆43Dec 22, 2021Updated 4 years ago
- Code for CVPR 2019 paper "Deep Metric Learning to Rank"☆97Sep 21, 2021Updated 4 years ago
- Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)☆38Dec 19, 2021Updated 4 years ago
- Hardness-Aware Deep Metric Learning (CVPR2019) in pytorch☆28May 2, 2021Updated 4 years ago
- Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019☆265Oct 24, 2019Updated 6 years ago
- A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).☆282Jul 25, 2024Updated last year
- This repo contains the official implementation of ICLR 2022 paper "It Takes Two to Tango: Mixup for Deep Metric Learning".☆36May 15, 2024Updated last year
- Official code for "The Group Loss for Deep Metric Learning" paper (ECCV 2020)☆52Aug 23, 2020Updated 5 years ago
- Pytorch package for geometric softmax☆12Jun 13, 2019Updated 6 years ago
- PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)☆67Jun 15, 2020Updated 5 years ago
- A library for ML benchmarking. It's powerful.☆439Jan 10, 2024Updated 2 years ago
- Official PyTorch Implementation of ProxyGML Loss for Deep Metric Learning, NeurIPS 2020 (spotlight)☆58Apr 28, 2021Updated 4 years ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,311Aug 17, 2025Updated 7 months ago
- ☆42Apr 25, 2021Updated 4 years ago
- Official pytorch Implementation of Deep Metric Learning Beyond Binary Supervision, CVPR 2019☆74Apr 8, 2020Updated 5 years ago
- Metric learning models in PyTorch with results on CUB2011, CARS196, Stanford Online Products☆67Jan 17, 2022Updated 4 years ago
- Ranking-based-Instance-Selection☆33Jun 19, 2021Updated 4 years ago
- pytorch implementation of the ICCV paper Sampling Matters in Deep Embedding Learning☆54Mar 13, 2019Updated 7 years ago
- ☆187Jan 21, 2021Updated 5 years ago
- A PyTorch implementation of NormSoftmax based on BMVC 2019 paper "Classification is a Strong Baseline for Deep Metric Learning"☆10Mar 15, 2020Updated 6 years ago
- Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"☆475Apr 4, 2020Updated 5 years ago
- ☆11Sep 29, 2018Updated 7 years ago
- Official PyTorch Implementation of Self-Taught Metric Learning without Labels, CVPR 2022☆40Apr 22, 2023Updated 2 years ago
- Official PyTorch implementation of Learning Intra-Batch Connections for Deep Metric Learning (ICML 2021) published at International Confe…☆48Dec 14, 2021Updated 4 years ago
- ☆48Apr 19, 2021Updated 4 years ago
- ☆34Jul 26, 2022Updated 3 years ago