KaihuaTang / Long-Tailed-Recognition.pytorchLinks
[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.
☆568Updated last year
Alternatives and similar repositories for Long-Tailed-Recognition.pytorch
Users that are interested in Long-Tailed-Recognition.pytorch are comparing it to the libraries listed below
Sorting:
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆975Updated 3 years ago
- A curated list of long-tailed recognition resources.☆586Updated 2 years ago
- The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition☆668Updated 2 years ago
- [ ECCV 2020 Spotlight ] Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets"☆370Updated 3 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆685Updated 3 years ago
- An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.☆591Updated 4 years ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆867Updated 3 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆759Updated 4 years ago
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆473Updated 3 years ago
- Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"☆470Updated 5 years ago
- Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"☆653Updated last year
- [ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."☆272Updated 2 years ago
- This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.☆235Updated 3 years ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆612Updated 4 years ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆570Updated 5 years ago
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆449Updated 2 years ago
- XBM: Cross-Batch Memory for Embedding Learning☆312Updated 2 years ago
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆513Updated 4 years ago
- Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020☆593Updated 2 years ago
- MS-Loss: Multi-Similarity Loss for Deep Metric Learning☆499Updated 2 years ago
- ☆484Updated 11 months ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆800Updated last year
- Unsupervised Feature Learning via Non-parametric Instance Discrimination☆755Updated 4 years ago
- PyTorch Implementation for Deep Metric Learning Pipelines☆575Updated 5 years ago
- CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.☆355Updated 3 years ago
- PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"☆598Updated 4 months ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆224Updated 5 years ago
- Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019☆404Updated 4 years ago
- Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper☆771Updated 2 years ago
- Implementation of the mixup training method☆466Updated 7 years ago