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 ClassiïŹer 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
CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection

CLOCs is a novel Camera-LiDAR Object Candidates fusion network. It provides a low-complexity multi-modal fusion framework that improves the performance of single-modality detectors. CLOCs operates on

Su Pang 254 Dec 16, 2022
Deep learning with TensorFlow and earth observation data.

Deep Learning with TensorFlow and EO Data Complete file set for Jupyter Book Autor: Development Seed Date: 04 October 2021 ISBN: (to come) Notebook tu

Development Seed 20 Nov 16, 2022
Inference pipeline for our participation in the FeTA challenge 2021.

feta-inference Inference pipeline for our participation in the FeTA challenge 2021. Team name: TRABIT Installation Download the two folders in https:/

Lucas Fidon 2 Apr 13, 2022
PyTorch implementation of the cross-modality generative model that synthesizes dance from music.

Dancing to Music PyTorch implementation of the cross-modality generative model that synthesizes dance from music. Paper Hsin-Ying Lee, Xiaodong Yang,

NVIDIA Research Projects 485 Dec 26, 2022
Simulator for FRC 2022 challenge: Rapid React

rrsim Simulator for FRC 2022 challenge: Rapid React out-1.mp4 Usage In order to run the simulator use the following: python3 rrsim.py [config_path] wh

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An End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).

Logo by Zhuoning Yuan LibAUC: A Machine Learning Library for AUC Optimization Website | Updates | Installation | Tutorial | Research | Github LibAUC a

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NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. đŸ”„Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphoneđŸ”„

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pcnaDeep integrates cutting-edge detection techniques with tracking and cell cycle resolving models.

pcnaDeep: a deep-learning based single-cell cycle profiler with PCNA signal Welcome! pcnaDeep integrates cutting-edge detection techniques with tracki

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Gesture Volume Control v.2

Gesture volume control v.2 In this project I am going to learn how to use Gesture Control to change the volume of a computer. I first look into hand t

Pavel Dat 23 Dec 26, 2022
Official PyTorch implemention of our paper "Learning to Rectify for Robust Learning with Noisy Labels".

WarPI The official PyTorch implemention of our paper "Learning to Rectify for Robust Learning with Noisy Labels". Run python main.py --corruption_type

Haoliang Sun 3 Sep 03, 2022
EsViT: Efficient self-supervised Vision Transformers

Efficient Self-Supervised Vision Transformers (EsViT) PyTorch implementation for EsViT, built with two techniques: A multi-stage Transformer architect

Microsoft 352 Dec 25, 2022
PyTorch implementation of the Transformer in Post-LN (Post-LayerNorm) and Pre-LN (Pre-LayerNorm).

Transformer-PyTorch A PyTorch implementation of the Transformer from the paper Attention is All You Need in both Post-LN (Post-LayerNorm) and Pre-LN (

Jared Wang 22 Feb 27, 2022
Official PyTorch implementation of the paper "Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory (SB-FBSDE)"

Official PyTorch implementation of the paper "Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory (SB-FBSDE)" which introduces a new class of deep generative models that gene

Guan-Horng Liu 43 Jan 03, 2023
Graph Analysis From Scratch

Graph Analysis From Scratch Goal In this notebook we wanted to implement some functionalities to analyze a weighted graph only by using algorithms imp

Arturo Ghinassi 0 Sep 17, 2022
Streamlit Tutorial (ex: stock price dashboard, cartoon-stylegan, vqgan-clip, stylemixing, styleclip, sefa)

Streamlit Tutorials Install pip install streamlit Run cd [directory] streamlit run app.py --server.address 0.0.0.0 --server.port [your port] # http:/

Jihye Back 30 Jan 06, 2023
Learned Initializations for Optimizing Coordinate-Based Neural Representations

Learned Initializations for Optimizing Coordinate-Based Neural Representations Project Page | Paper Matthew Tancik*1, Ben Mildenhall*1, Terrance Wang1

Matthew Tancik 127 Jan 03, 2023
Riemann Noise Injection With PyTorch

Riemann Noise Injection - PyTorch A module for modeling GAN noise injection based on Riemann geometry, as described in Ruili Feng, Deli Zhao, and Zhen

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Deep learning model for EEG artifact removal

DeepSeparator Introduction Electroencephalogram (EEG) recordings are often contaminated with artifacts. Various methods have been developed to elimina

23 Dec 21, 2022
This program generates a random 12 digit/character password (upper and lowercase) and stores it in a file along with your username and app/website.

PasswordGeneratorAndVault This program generates a random 12 digit/character password (upper and lowercase) and stores it in a file along with your us

Chris 1 Feb 26, 2022
HeatNet is a python package that provides tools to build, train and evaluate neural networks designed to predict extreme heat wave events globally on daily to subseasonal timescales.

HeatNet HeatNet is a python package that provides tools to build, train and evaluate neural networks designed to predict extreme heat wave events glob

Google Research 6 Jul 07, 2022