MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition

23 March 2021

Shuang Li

Kaixiong Gong

Chi Harold Liu

Yulin Wang

Feng Qiao

Xinjing Cheng

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Papers citing "MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition"

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Title
Mitigating Spurious Correlations with Causal Logit Perturbation Xiaoling Zhou Wei Ye Rui Xie Shikun Zhang CML 70 0 0 21 May 2025
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets Tong Wu Qingqiu Huang Ziwei Liu Yu Wang Dahua Lin 47 228 0 19 Jul 2020
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective Muhammad Abdullah Jamal Matthew A. Brown Ming-Hsuan Yang Liqiang Wang Boqing Gong 72 262 0 24 Mar 2020
Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective Jialun Liu Yifan Sun Chuchu Han Zhaopeng Dou Wenhui Li 42 206 0 25 Feb 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 280 795 0 05 Dec 2019
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 162 1,203 0 21 Oct 2019
Implicit Semantic Data Augmentation for Deep Networks Yulin Wang Xuran Pan Shiji Song Hong Zhang Cheng Wu Gao Huang 53 199 0 26 Sep 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 84 1,583 0 18 Jun 2019
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 118 1,148 0 10 Apr 2019
Class-Balanced Loss Based on Effective Number of Samples Huayu Chen Menglin Jia Nayeon Lee Yang Song Serge J. Belongie 151 2,253 0 16 Jan 2019
What is the Effect of Importance Weighting in Deep Learning? Jonathon Byrd Zachary Chase Lipton 72 458 0 08 Dec 2018
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning Huayu Chen Yang Song Chen Sun Andrew G. Howard Serge J. Belongie 94 476 0 16 Jun 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 128 1,419 0 24 Mar 2018
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren Eleni Triantafillou S. S. Ravi Jake C. Snell Kevin Swersky J. Tenenbaum Hugo Larochelle R. Zemel SSL 59 1,278 0 02 Mar 2018
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 115 1,069 0 12 Nov 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 243 9,687 0 25 Oct 2017
A systematic study of the class imbalance problem in convolutional neural networks Mateusz Buda A. Maki Maciej A. Mazurowski 133 2,335 0 15 Oct 2017
Learning to Compose Domain-Specific Transformations for Data Augmentation Alexander J. Ratner Henry R. Ehrenberg Zeshan Hussain Jared A. Dunnmon Christopher Ré 61 349 0 06 Sep 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour Priya Goyal Piotr Dollár Ross B. Girshick P. Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He 3DH 94 3,666 0 08 Jun 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 139 9,509 0 31 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 216 8,072 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 759 11,793 0 09 Mar 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 631 36,599 0 25 Aug 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 85 2,000 0 14 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 954 99,991 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.1K 39,383 0 01 Sep 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 272 43,290 0 01 May 2014
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 267 25,443 0 09 Jun 2011