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
ULMFiT for Genomic Sequence Data

Genomic ULMFiT This is an implementation of ULMFiT for genomics classification using Pytorch and Fastai. The model architecture used is based on the A

Karl 276 Dec 12, 2022
A Python 3 package for state-of-the-art statistical dimension reduction methods

direpack: a Python 3 library for state-of-the-art statistical dimension reduction techniques This package delivers a scikit-learn compatible Python 3

Sven Serneels 32 Dec 14, 2022
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Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection, AAAI 2021.

Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection This repository is an official implementation of the AAAI 2021 paper Co-mi

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Determined: Deep Learning Training Platform

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Official PyTorch implementation of Less is More: Pay Less Attention in Vision Transformers.

Less is More: Pay Less Attention in Vision Transformers Official PyTorch implementation of Less is More: Pay Less Attention in Vision Transformers. By

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Using pytorch to implement unet network for liver image segmentation.

Using pytorch to implement unet network for liver image segmentation.

zxq 1 Dec 17, 2021
This is the paddle code for SeBoW(Self-Born wiring for neural trees), a kind of neural tree born form a large search space

SeBoW: Self-Born Wiring for neural trees(PaddlePaddle version) This is the paddle code for SeBoW(Self-Born wiring for neural trees), a kind of neural

HollyLee 13 Dec 08, 2022
Pytorch implementation of Bert and Pals: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning

PyTorch implementation of BERT and PALs Introduction Work by Asa Cooper Stickland and Iain Murray, University of Edinburgh. Code for BERT and PALs; mo

Asa Cooper Stickland 70 Dec 29, 2022
A heterogeneous entity-augmented academic language model based on Open Academic Graph (OAG)

Library | Paper | Slack We released two versions of OAG-BERT in CogDL package. OAG-BERT is a heterogeneous entity-augmented academic language model wh

THUDM 58 Dec 17, 2022
A command line simple note taking app

Why yet another note taking program? note was designed with a very specific target in mind: me, and my 2354 scraps of paper. It runs from the command

64 Nov 20, 2022
Post-training Quantization for Neural Networks with Provable Guarantees

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PyTorch implementation of ShapeConv: Shape-aware Convolutional Layer for RGB-D Indoor Semantic Segmentation.

Shape-aware Convolutional Layer (ShapeConv) PyTorch implementation of ShapeConv: Shape-aware Convolutional Layer for RGB-D Indoor Semantic Segmentatio

Hanchao Leng 82 Dec 29, 2022
Dynamic Bottleneck for Robust Self-Supervised Exploration

Dynamic Bottleneck Introduction This is a TensorFlow based implementation for our paper on "Dynamic Bottleneck for Robust Self-Supervised Exploration"

Bai Chenjia 4 Nov 14, 2022
ICS 4u HD project, start before-wards. A curtain shooting game using python.

Touhou-Star-Salvation HDCH ICS 4u HD project, start before-wards. A curtain shooting game using python and pygame. By Jason Li For arts and gameplay,

15 Dec 22, 2022
This is Unofficial Repo. Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection (CVPR 2021)

Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection This is a PyTorch implementation of the LipForensics paper. This is an U

Minha Kim 2 May 11, 2022
Deep Inertial Prediction (DIPr)

Deep Inertial Prediction For more information and context related to this repo, please refer to our website. Getting Started (non Docker) Note: you wi

Arcturus Industries 12 Nov 11, 2022
Pretraining Representations For Data-Efficient Reinforcement Learning

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Mila 40 Dec 11, 2022
Cossim - Sharpened Cosine Distance implementation in PyTorch

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Istvan Fehervari 10 Mar 22, 2022
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