Awesome-of-Long-Tailed-Recognition
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A curated list of long-tailed recognition resources.
Awesome Long-tailed Recognition ![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)
A curated list of long-tailed recognition and related resources.
Please feel free to pull requests or open an issue to add papers.
:high_brightness: Updated 2021-10-03
Table of Contents
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Type of Long-tailed Recognition
-
Long-tailed Recognition
- 2021 Venues
- 2020 Venues
- 2019 Venues
- 2018 Venues
- 2017 Venues
- 2016 Venues
- Previous Venues
- arXiv
-
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
2020
2019
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
Awesome Surveys
- and
Awesome Blogs
- and
Imbalanced Learning
Title | Venue | Type | Code |
---|---|---|---|
Learning from Imbalanced Data | TKDE | `` | - |