Confusezius / Deep-Metric-Learning-BaselinesLinks
PyTorch Implementation for Deep Metric Learning Pipelines
☆573Updated 4 years ago
Alternatives and similar repositories for Deep-Metric-Learning-Baselines
Users that are interested in Deep-Metric-Learning-Baselines are comparing it to the libraries listed below
Sorting:
- Deep Metric Learning☆781Updated 4 years ago
- (ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning"…☆342Updated 3 years ago
- MS-Loss: Multi-Similarity Loss for Deep Metric Learning☆499Updated 2 years ago
- A library for ML benchmarking. It's powerful.☆439Updated last year
- XBM: Cross-Batch Memory for Embedding Learning☆309Updated 2 years ago
- Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020☆322Updated 3 years ago
- Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature☆210Updated 5 years ago
- Unsupervised Feature Learning via Non-parametric Instance Discrimination☆754Updated 4 years ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆586Updated 3 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☆206Updated 10 months ago
- Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019☆265Updated 5 years ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆863Updated 2 years ago
- A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).☆282Updated 10 months ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆611Updated 3 years ago
- PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`.☆182Updated 5 years ago
- ☆520Updated 3 years ago
- ☆375Updated 5 years ago
- Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)☆541Updated 10 months ago
- ☆518Updated last year
- Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"☆466Updated 5 years ago
- [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis☆1,325Updated 4 years ago
- Implementation of the mixup training method☆466Updated 6 years ago
- PyTorch conversion of https://omoindrot.github.io/triplet-loss☆213Updated 2 years ago
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆568Updated 9 months ago
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆400Updated 4 years ago
- Code for reproducing Manifold Mixup results (ICML 2019)☆494Updated last year
- Efficient Diffusion for Image Retrieval☆222Updated 5 years ago
- A curated list of long-tailed recognition resources.☆584Updated last year
- Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning☆120Updated 10 months ago