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
TensorFlow-based implementation of "Pyramid Scene Parsing Network".

PSPNet_tensorflow Important Code is fine for inference. However, the training code is just for reference and might be only used for fine-tuning. If yo

HsuanKung Yang 323 Dec 20, 2022
Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)

Transfer Learning for Text Classification with Tensorflow Tensorflow implementation of Semi-supervised Sequence Learning(https://arxiv.org/abs/1511.01

DONGJUN LEE 82 Oct 22, 2022
DeepRec is a recommendation engine based on TensorFlow.

DeepRec Introduction DeepRec is a recommendation engine based on TensorFlow 1.15, Intel-TensorFlow and NVIDIA-TensorFlow. Background Sparse model is a

Alibaba 676 Jan 03, 2023
This repository provides a basic implementation of our GCPR 2021 paper "Learning Conditional Invariance through Cycle Consistency"

Learning Conditional Invariance through Cycle Consistency This repository provides a basic TensorFlow 1 implementation of the proposed model in our GC

BMDA - University of Basel 1 Nov 04, 2022
source code for 'Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge' by A. Shah, K. Shanmugam, K. Ahuja

Source code for "Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge" Reference: Abhin Shah, Karthikeyan Shanmugam, Kartik Ahu

Abhin Shah 1 Jun 03, 2022
Randomized Correspondence Algorithm for Structural Image Editing

===================================== README: Inpainting based PatchMatch ===================================== @Author: Younesse ANDAM @Conta

Younesse 116 Dec 24, 2022
GNN4Traffic - This is the repository for the collection of Graph Neural Network for Traffic Forecasting

GNN4Traffic - This is the repository for the collection of Graph Neural Network for Traffic Forecasting

564 Jan 02, 2023
ICNet for Real-Time Semantic Segmentation on High-Resolution Images, ECCV2018

ICNet for Real-Time Semantic Segmentation on High-Resolution Images by Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen, Jianping Shi, Jiaya Jia, details a

Hengshuang Zhao 594 Dec 31, 2022
[PyTorch] Official implementation of CVPR2021 paper "PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency". https://arxiv.org/abs/2103.05465

PointDSC repository PyTorch implementation of PointDSC for CVPR'2021 paper "PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency",

153 Dec 14, 2022
Frequency Spectrum Augmentation Consistency for Domain Adaptive Object Detection

Frequency Spectrum Augmentation Consistency for Domain Adaptive Object Detection Main requirements torch = 1.0 torchvision = 0.2.0 Python 3 Environm

15 Apr 04, 2022
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation (CoRL 2021)

Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation [Project website] [Paper] This project is a PyTorch i

Cognitive Learning for Vision and Robotics (CLVR) lab @ USC 6 Feb 28, 2022
Code for models used in Bashiri et al., "A Flow-based latent state generative model of neural population responses to natural images".

A Flow-based latent state generative model of neural population responses to natural images Code for "A Flow-based latent state generative model of ne

Sinz Lab 5 Aug 26, 2022
A GPU-optional modular synthesizer in pytorch, 16200x faster than realtime, for audio ML researchers.

torchsynth The fastest synth in the universe. Introduction torchsynth is based upon traditional modular synthesis written in pytorch. It is GPU-option

torchsynth 229 Jan 02, 2023
Text-Based Ideal Points

Text-Based Ideal Points Source code for the paper: Text-Based Ideal Points by Keyon Vafa, Suresh Naidu, and David Blei (ACL 2020). Update (June 29, 20

Keyon Vafa 37 Oct 09, 2022
G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)

Single Node Injection Attack against Graph Neural Networks This repository is our Pytorch implementation of our paper: Single Node Injection Attack ag

Shuchang Tao 18 Nov 21, 2022
ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D Data

ARKitScenes This repo accompanies the research paper, ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D

Apple 371 Jan 05, 2023
Predict halo masses from simulations via graph neural networks

HaloGraphNet Predict halo masses from simulations via Graph Neural Networks. Given a dark matter halo and its galaxies, creates a graph with informati

Pablo Villanueva Domingo 20 Nov 15, 2022
DeepStochlog Package For Python

DeepStochLog Installation Installing SWI Prolog DeepStochLog requires SWI Prolog to run. Run the following commands to install: sudo apt-add-repositor

KU Leuven Machine Learning Research Group 17 Dec 23, 2022
COVINS -- A Framework for Collaborative Visual-Inertial SLAM and Multi-Agent 3D Mapping

COVINS -- A Framework for Collaborative Visual-Inertial SLAM and Multi-Agent 3D Mapping Version 1.0 COVINS is an accurate, scalable, and versatile vis

ETHZ V4RL 183 Dec 27, 2022
Pytorch port of Google Research's LEAF Audio paper

leaf-audio-pytorch Pytorch port of Google Research's LEAF Audio paper published at ICLR 2021. This port is not completely finished, but the Leaf() fro

Dennis Fedorishin 80 Oct 31, 2022