A curated list of long-tailed recognition resources.

Overview

Awesome Long-tailed Recognition Awesome

A curated list of long-tailed recognition and related resources.

Please feel free to pull requests or open an issue to add papers.

🔆 Updated 2021-10-03

Please look forward to our new interesting work!


Table of Contents

Type of Long-tailed Recognition

Type OS US CBS CLW SLW TL Other
Explanation Over Sampling Under Sampling Class-balanced Sampling Class-level Weighting Sample-level Weighting Transfer Learning other types

Label-Imbalanced and Group-Sensitive Classification under Overparameterization

2021

Title Venue Type Code Star
Label-Imbalanced and Group-Sensitive Classification under Overparameterization NeurIPS CLW -
Long-tail Learning via Logit Adjustment ICLR CLW -
LONG-TAILED RECOGNITION BY ROUTING DIVERSE DISTRIBUTION-AWARE EXPERTS ICLR Other -
Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks AAAI Other -
PML: Progressive Margin Loss for Long-tailed Age Classification CVPR CLW -
Distribution Alignment: A Unified Framework for Long-tail Visual Recognition CVPR Other -
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification CVPR Other -
Improving Calibration for Long-Tailed Recognition CVPR Other -

2020

Title Venue Type Code Star
Rethinking the Value of Labels for Improving Class-Imbalanced Learning NeurIPS Other PyTorch(Author) 153
Balanced Meta-Softmax for Long-Tailed Visual Recognition NeurIPS CLW PyTorch(Author)
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect NeurIPS Other PyTorch(Author)
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation ACM-MM Other PyTorch(Author)
Mitigating Dataset Imbalance via Joint Generation and Classification ECCV-W Other PyTorch(Author)
Seesaw Loss for Long-Tailed Instance ECCV-W Other -
Balanced Activation for Long-tailed Visual Recognition ECCV-W Other -
Imbalanced Continual Learning with Partitioning Reservoir Sampling ECCV Other PyTorch(Author)
Feature Space Augmentation for Long-Tailed Data ECCV Aug -
The Devil is in Classification A Simple Framework for Long-tail Instance Segmentation ECCV Aug -
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets ECCV CLW PyTorch(Author) 91
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier ECCV Other -
Learning From Multiple Experts_Self-paced Knowledge Distillation for Long-tailed Classification ECCV TL -
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective CVPR CLW -
Equalization Loss for Long-Tailed Object Recognition CVPR CLW SLW PyTorch(Author) 116
Domain Balancing: Face Recognition on Long-Tailed Domains CVPR Other -
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition CVPR Other PyTorch(Author) 360
Deep Representation Learning on Long-tailed Data: A Learnable Embedding CVPR TL -
Inflated Episodic Memory with Region Self-Attention for Long-Tailed Visual Recognition CVPR Other -
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax CVPR Other PyTorch(Author)
M2m: Imbalanced Classification via Major-to-minor Translation CVPR TL PyTorch(Author)
Deep Generative Model for Robust Imbalance Classification CVPR Other TensorFlow(Author)
Learning to Segment the Tail CVPR Other -
Decoupling Representation and Classifier for Long-Tailed Recognition ICLR Other PyTorch(Author) 354

2019

Title Venue Type Code Star
The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation ECCV Other -
Class-Balanced Loss Based on Effective Number of Samples CVPR CLR TensorFlow(Author) PyTorch(3rd) 390/409
Striking the Right Balance with Uncertainty CVPR CLW SLW -
Feature Transfer Learning for Face Recognition with Under-Represented Data CVPR TL PyTorch(3rd)
Large-Scale Long-Tailed Recognition in an Open World CVPR TL PyTorch(Author) 523
Unequal-training for Deep Face Recognition with Long-tailed Noisy Data CVPR TL MxNet(Author)
Learning for Tail Label Data: A Label-Specific Feature Approach IJCAI Other -
Dynamic Curriculum Learning for Imbalanced Data Classification ICCV S W -
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss NeurIPS CLW PyTorch(Author) 233
Meta-Weight-Net_Learning an Explicit Mapping for Sample Weighting NeurIPS SLW PyTorch(Author) PyTorch(3rd) 133/1

2018

Title Venue Type Code Star
Large Scale Fine-Grained Categorization and Domain-Specific Transfer CVPR TL TensorFlow(Author) 146
Learning to Reweight Examples for Robust Deep Learning ICML CLW TensorFlow(Author) PyTorch(3rd) 188/222
Clustering and Learning from Imbalanced Data NeurIPS-W OS -

2017

Title Venue Type Code Star
Class Rectification Hard Mining for Imbalanced Deep Learning ICCV CLW -
Focal Loss for Dense Object Detection ICCV SLW PyTorch(Author)
Range Loss for Deep Face Recognition with Long-Tailed Training Data ICCV SLW PyTorch(3rd)
Learning to Model the Tail NeurIPS TL -

2016

Title Venue Type Code Star
Factors in Finetuning Deep Model for Object Detection with Long-tail Distribution CVPR Other -
Learning Deep Representation for Imbalanced Classification CVPR CBS -
Learning to Learn: Model Regression Networks for Easy Small Sample Learning ECCV TL -

Previous Venues

Title Venue Type Code Star
Inverse Random under Sampling for Class Imbalance Problem and its Application to Multi-label Classification PR US -
Classification of Imbalanced Data by Combining the Complementary Neural Network and SMOTE Algorithm ICONIP US PyTorch(Author)
Borderline-SMOTE: A New Over-Sampling Method in Imblanced Data Sets Learning ICIC OS -
SMOTE: Synthetic Minority Over-sampling Technique JAIR OS -

arXiv

Title Date Type Code Star
Convolution and Convolution-root Properties of Long-tailed Distributions 2015.01.29 Other -
Deep Active Learning over the Long Tail 2017.11.02 `` -
Adjusting Decision Boundary for Class Imbalanced Learning 2019.12.04 `` Pytorch(Author)
Long-tail Visual Relationship Recognition with a Visiolinguistic Hubless Loss 2020.03.25 `` -
Long-tail Learning with Class Descriptors 2020.04.05 `` TensorFlow(Author)
Long-Tailed Recognition Using Class-Balanced Experts 2020.04.07 `` -
Interaction Matching for Long-Tail Multi-Label Classification 2020.05.18 `` -
EL: An Early-Exiting Framework for Long-tailed Classification 2020.06.22 `` -
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization 2020.06.29 `` -
Remix: Rebalanced Mixup 2020.07.08 Aug -
Balanced Meta-Softmax for Long-Tailed Visual Recognition 2020.07.21 `` -
SeismoGlow: Data Augmentation for the Class Imbalance Problem 2020.07.23 Aug -
Meta Feature Modulator for Long-tailed Recognition 2020.08.08 Meta -
2020.08.10 `` -
2020.08.10 `` -
2020.08.10 `` -
2020.08.10 `` -
2020.08.10 `` -

Awesome Surveys

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Awesome Blogs

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Imbalanced Learning

Title Venue Type Code
Learning from Imbalanced Data TKDE `` -
Owner
Zhiwei ZHANG
Zhiwei ZHANG
PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)

MNIST-to-SVHN and SVHN-to-MNIST PyTorch Implementation of CycleGAN and Semi-Supervised GAN for Domain Transfer. Prerequites Python 3.5 PyTorch 0.1.12

Yunjey Choi 401 Dec 30, 2022
A Marvelous ChatBot implement using PyTorch.

PyTorch Marvelous ChatBot [Update] it's 2019 now, previously model can not catch up state-of-art now. So we just move towards the future a transformer

JinTian 223 Oct 18, 2022
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

LSTM Neural Network for Time Series Prediction LSTM built using the Keras Python package to predict time series steps and sequences. Includes sine wav

Jakob Aungiers 4.1k Jan 02, 2023
LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

LightNet++ !!!New Repo.!!! ⇒ EfficientNet.PyTorch: Concise, Modular, Human-friendly PyTorch implementation of EfficientNet with Pre-trained Weights !!

linksense 237 Jan 05, 2023
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Apache MXNet (incubating) for Deep Learning Master Docs License Apache MXNet (incubating) is a deep learning framework designed for both efficiency an

ROCm Software Platform 29 Nov 16, 2022
Tensorflow implementation for Self-supervised Graph Learning for Recommendation

If the compilation is successful, the evaluator of cpp implementation will be called automatically. Otherwise, the evaluator of python implementation will be called.

152 Jan 07, 2023
Towards uncontrained hand-object reconstruction from RGB videos

Towards uncontrained hand-object reconstruction from RGB videos Yana Hasson, Gül Varol, Ivan Laptev and Cordelia Schmid Project page Paper Table of Co

Yana 69 Dec 27, 2022
This repository contains code from the paper "TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network"

TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network This repository contains code from the paper "TTS-GAN: A Transformer-based Tim

Intelligent Multimodal Computing and Sensing Laboratory (IMICS Lab) - Texas State University 108 Dec 29, 2022
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks

Code for CCA-SSG model proposed in the NeurIPS 2021 paper From Canonical Correlation Analysis to Self-supervised Graph Neural Networks.

Hengrui Zhang 44 Nov 27, 2022
Repo for "Physion: Evaluating Physical Prediction from Vision in Humans and Machines" submission to NeurIPS 2021 (Datasets & Benchmarks track)

Physion: Evaluating Physical Prediction from Vision in Humans and Machines This repo contains code and data to reproduce the results in our paper, Phy

Cognitive Tools Lab 38 Jan 06, 2023
Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation

DynaBOA Code repositoty for the paper: Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation Shanyan Guan, Jingwei Xu, Michell

197 Jan 07, 2023
gym-anm is a framework for designing reinforcement learning (RL) environments that model Active Network Management (ANM) tasks in electricity distribution networks.

gym-anm is a framework for designing reinforcement learning (RL) environments that model Active Network Management (ANM) tasks in electricity distribution networks. It is built on top of the OpenAI G

Robin Henry 99 Dec 12, 2022
An unsupervised learning framework for depth and ego-motion estimation from monocular videos

SfMLearner This codebase implements the system described in the paper: Unsupervised Learning of Depth and Ego-Motion from Video Tinghui Zhou, Matthew

Tinghui Zhou 1.8k Dec 30, 2022
Implementation of Ag-Grid component for Streamlit

streamlit-aggrid AgGrid is an awsome grid for web frontend. More information in https://www.ag-grid.com/. Consider purchasing a license from Ag-Grid i

Pablo Fonseca 556 Dec 31, 2022
A python library for implementing a recommender system

python-recsys A python library for implementing a recommender system. Installation Dependencies python-recsys is build on top of Divisi2, with csc-pys

Oscar Celma 1.5k Dec 17, 2022
Establishing Strong Baselines for TripClick Health Retrieval; ECIR 2022

TripClick Baselines with Improved Training Data Welcome 🙌 to the hub-repo of our paper: Establishing Strong Baselines for TripClick Health Retrieval

Sebastian Hofstätter 3 Nov 03, 2022
Convert Python 3 code to CUDA code.

Py2CUDA Convert python code to CUDA. Usage To convert a python file say named py_file.py to CUDA, run python generate_cuda.py --file py_file.py --arch

Yuval Rosen 3 Jul 14, 2021
Users can free try their models on SIDD dataset based on this code

SIDD benchmark 1 Train python train.py If you want to train your network, just modify the yaml in the options folder. 2 Validation python validation.p

Yuzhi ZHAO 2 May 20, 2022
Unsupervised 3D Human Mesh Recovery from Noisy Point Clouds

Unsupervised 3D Human Mesh Recovery from Noisy Point Clouds Xinxin Zuo, Sen Wang, Minglun Gong, Li Cheng Prerequisites We have tested the code on Ubun

41 Dec 12, 2022
A simple program for training and testing vit

Vit This is a simple program for training and testing vit. Key requirements: torch, torchvision and timm. Dataset I put 5 categories of the cub classi

xiezhenyu 2 Oct 11, 2022