https://github.com/adamdad/awesome-metrics-learning
https://github.com/adamdad/awesome-metrics-learning
List: awesome-metrics-learning
Last synced: 4 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/adamdad/awesome-metrics-learning
- Owner: Adamdad
- Created: 2020-06-22T04:23:10.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2020-06-22T05:14:27.000Z (about 6 years ago)
- Last Synced: 2025-11-12T04:01:53.192Z (8 months ago)
- Size: 10.7 KB
- Stars: 14
- Watchers: 1
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Awesome-metrics-learning
A collection of all metric learning paper about loss functions from 2016-today in CVPR, ECCV, ICCV, NIPS, ICML, ICLR and BMVC.
### Older
- [Neighbourhood Components Analysis](https://www.cs.toronto.edu/~hinton/absps/nca.pdf) (NIPS '05)
- [Distance Metric Learning for Large Margin
Nearest Neighbor Classification](https://papers.nips.cc/paper/2795-distance-metric-learning-for-large-margin-nearest-neighbor-classification.pdf) (NIPS '06)
- [Dimensionality Reduction by Learning an Invariant Mapping](http://yann.lecun.com/exdb/publis/pdf/hadsell-chopra-lecun-06.pdf) (CVPR '06)
- [FaceNet: A Unified Embedding for Face Recognition and Clustering](https://arxiv.org/abs/1503.03832) (CVPR '15)
### 2016
- [Large-Margin Softmax Loss for Convolutional Neural Networks](https://arxiv.org/abs/1612.02295) (ICML '16)
- [Improved Deep Metric Learning with Multi-class N-pair Loss Objective](https://papers.nips.cc/paper/6200-improved-deep-metric-learning-with-multi-class-n-pair-loss-objective) (NIPS '16)
- [Deep Metric Learning via Lifted Structured Feature Embedding](https://arxiv.org/abs/1511.06452) (CVPR '16)
### 2017
- [SphereFace: Deep Hypersphere Embedding for Face Recognition](https://arxiv.org/abs/1704.08063)(CVPR '17)
- [Deep Metric Learning with Angular Loss](https://arxiv.org/abs/1708.01682) (ICCV '17)
- [No Fuss Distance Metric Learning using Proxies](https://arxiv.org/abs/1703.07464) (ICCV '17)
- [Sampling Matters in Deep Embedding Learning](https://arxiv.org/abs/1706.07567) （ICCV '17）
### 2018
- [CosFace: Large Margin Cosine Loss for Deep Face Recognition](https://arxiv.org/abs/1801.09414) (CVPR '18)
- [Classification is a Strong Baseline for Deep Metric Learning](https://arxiv.org/abs/1811.12649) (BMVC '18)
- [Additive Margin Softmax for Face Verification](https://pdfs.semanticscholar.org/93af/36da08bf99e68c9b0d36e141ed8154455ac2.pdf) (ICLRW '18)
### 2019
- [ArcFace: Additive Angular Margin Loss for Deep Face Recognition](https://arxiv.org/abs/1801.07698) (CVPR '19)
- [Deep Metric Learning to Rank](http://cs-people.bu.edu/hekun/papers/CVPR2019FastAP.pdf) (CVPR '19)
- [Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning](https://arxiv.org/abs/1904.06627) (CVPR '19)
- [Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning](http://openaccess.thecvf.com/content_CVPR_2019/papers/Yuan_Signal-To-Noise_Ratio_A_Robust_Distance_Metric_for_Deep_Metric_Learning_CVPR_2019_paper.pdf) (CVPR '19)
- [Divide and Conquer the Embedding Space for Metric Learning](http://openaccess.thecvf.com/content_CVPR_2019/papers/Sanakoyeu_Divide_and_Conquer_the_Embedding_Space_for_Metric_Learning_CVPR_2019_paper.pdf) (CVPR '19)
- [Hardness-Aware Deep Metric Learning](http://openaccess.thecvf.com/content_CVPR_2019/papers/Zheng_Hardness-Aware_Deep_Metric_Learning_CVPR_2019_paper.pdf) (CVPR '19)
- [Deep Metric Learning with Tuplet Margin Loss](http://openaccess.thecvf.com/content_ICCV_2019/papers/Yu_Deep_Metric_Learning_With_Tuplet_Margin_Loss_ICCV_2019_paper.pdf) (ICCV '19)
- [SoftTriple Loss: Deep Metric Learning Without Triplet Sampling](http://openaccess.thecvf.com/content_ICCV_2019/papers/Qian_SoftTriple_Loss_Deep_Metric_Learning_Without_Triplet_Sampling_ICCV_2019_paper.pdf) (ICCV '19)
- [Classification is a Strong Baseline for Deep Metric Learning](https://arxiv.org/abs/1811.12649) (BMVC '19)
- [In Defense of the Classification Loss for Person Re-Identification](http://openaccess.thecvf.com/content_CVPRW_2019/papers/TRMTMCT/Zhai_In_Defense_of_the_Classification_Loss_for_Person_Re-Identification_CVPRW_2019_paper.pdf) (CVPRW '19)
### 2020
- [Circle Loss: A Unified Perspective of Pair Similarity Optimization](https://arxiv.org/abs/2002.10857) (CVPR '20)
- [Proxy Anchor Loss for Deep Metric Learning](https://arxiv.org/abs/2003.13911) (CVPR '20)
- [A Simple Framework for Contrastive Learning of Visual Representations](https://arxiv.org/abs/2002.05709)
### Tools
- https://github.com/KevinMusgrave/pytorch-metric-learning