Awesome Long-tailed Recognition

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!

Type of Long-tailed Recognition
Long-tailed Recognition
Awesome Surveys
Awesome Blogs
Imbalanced Learning

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
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
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
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
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
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

Awesome Blogs

Imbalanced Learning

Title	Venue	Type	Code
Learning from Imbalanced Data	TKDE	``	-

A curated list of long-tailed recognition resources.

Related tags

Overview

Awesome Long-tailed Recognition

🔆 Updated 2021-10-03

Please look forward to our new interesting work!

Table of Contents

Type of Long-tailed Recognition

2021

2020

2019

2018

2017

2016

Previous Venues

arXiv

Awesome Surveys

Awesome Blogs

Imbalanced Learning

Owner

Zhiwei ZHANG

A PyTorch implementation: "LASAFT-Net-v2: Listen, Attend and Separate by Attentively aggregating Frequency Transformation"

Dataset used in "PlantDoc: A Dataset for Visual Plant Disease Detection" accepted in CODS-COMAD 2020

Where-Got-Time - An NUS timetable generator which uses a genetic algorithm to optimise timetables to suit the needs of NUS students

Politecnico of Turin Thesis: "Implementation and Evaluation of an Educational Chatbot based on NLP Techniques"

When in Doubt: Improving Classification Performance with Alternating Normalization

ByteTrack超详细教程！训练自己的数据集&&摄像头实时检测跟踪

Deduplicating Training Data Makes Language Models Better

You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks.

GANfolk: Using AI to create portraits of fictional people to sell as NFTs

Official code release for "Learned Spatial Representations for Few-shot Talking-Head Synthesis" ICCV 2021

Background Matting: The World is Your Green Screen

Simulating an AI playing 2048 using the Expectimax algorithm

Code for paper entitled "Improving Novelty Detection using the Reconstructions of Nearest Neighbours"

A framework for analyzing computer vision models with simulated data

Image Segmentation using U-Net, U-Net with skip connections and M-Net architectures

Fully Convlutional Neural Networks for state-of-the-art time series classification

Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020

This Deep Learning Model Predicts that from which disease you are suffering.

Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

Official repository for "Intriguing Properties of Vision Transformers" (2021)