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

DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers

Code for: Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification

La source de mon module 'pyfade' disponible sur Pypi.

A task-agnostic vision-language architecture as a step towards General Purpose Vision

Safe Local Motion Planning with Self-Supervised Freespace Forecasting, CVPR 2021

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

FairyTailor: Multimodal Generative Framework for Storytelling

Twins: Revisiting the Design of Spatial Attention in Vision Transformers

A PyTorch implementation of SIN: Superpixel Interpolation Network

Paddle pit - Rethinking Spatial Dimensions of Vision Transformers

免费获取http代理并生成proxifier配置文件

Boston House Prediction Valuation Tool

Official PyTorch implementation of "Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition" in AAAI2022.

BirdCLEF 2021 - Birdcall Identification 4th place solution

JAXDL: JAX (Flax) Deep Learning Library

This project demonstrates the use of neural networks and computer vision to create a classifier that interprets the Brazilian Sign Language.

A python library for time-series smoothing and outlier detection in a vectorized way.

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

Tiny-NewsRec: Efﬁcient and Effective PLM-based News Recommendation