A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability

21 December 2022

Papers citing "A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability"

27 / 27 papers shown

Title
Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation Junehyoung Kwon Eunju Lee Yunsung Cho Youngbin Kim 48 4 0 28 May 2024
Spot keywords from very noisy and mixed speech Ying Shi Dong Wang Lantian Li Jiqing Han Shi Yin 25 4 0 28 May 2023
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup Damien Teney Jindong Wang Ehsan Abbasnejad 30 6 0 26 May 2023
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification Omid Nejati Manzari Hamid Ahmadabadi Hossein Kashiani S. B. Shokouhi Ahmad Ayatollahi ViT MedIm 31 177 0 19 Feb 2023
Teach me how to Interpolate a Myriad of Embeddings Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis 40 2 0 29 Jun 2022
Swapping Semantic Contents for Mixing Images Rémy Sun Clément Masson Gilles Hénaff Nicolas Thome Matthieu Cord 10 2 0 20 May 2022
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners Canyu Chen Kai Shu VLM 31 8 0 18 May 2022
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation Joonhyung Park Hajin Shim Eunho Yang 79 49 0 10 Nov 2021
Data Augmentation Approaches in Natural Language Processing: A Survey Bohan Li Yutai Hou Wanxiang Che 124 270 0 05 Oct 2021
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration Xiao Wang Hongrui Liu Chuan Shi Cheng Yang UQCV 109 113 0 29 Sep 2021
Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup Guang Liu Yuzhao Mao Hailong Huang Weiguo Gao Xuan Li AAML 28 5 0 15 Sep 2021
SpecMix : A Mixed Sample Data Augmentation method for Training withTime-Frequency Domain Features Gwantae Kim D. Han Hanseok Ko 47 42 0 06 Aug 2021
Improving Contrastive Learning by Visualizing Feature Transformation Rui Zhu Bingchen Zhao Jingen Liu Zhenglong Sun C. L. P. Chen SSL 96 78 0 06 Aug 2021
MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition Linghui Meng Jin Xu Xu Tan Jindong Wang Tao Qin Bo Xu VLM 64 77 0 25 Feb 2021
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning Yifan Zhang Bryan Hooi Dapeng Hu Jian Liang Jiashi Feng 73 64 0 12 Feb 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity Jang-Hyun Kim Wonho Choo Hosan Jeong Hyun Oh Song 197 176 0 05 Feb 2021
Regularization Strategy for Point Cloud via Rigidly Mixed Sample Dogyoon Lee Jaeha Lee Junhyeop Lee Hyeongmin Lee Minhyeok Lee Sungmin Woo Sangyoun Lee 3DPC 148 74 0 03 Feb 2021
Mixup Without Hesitation Hao Yu Huanyu Wang Jianxin Wu VLM 31 21 0 12 Jan 2021
MixCo: Mix-up Contrastive Learning for Visual Representation Sungnyun Kim Gihun Lee Sangmin Bae Seyoung Yun SSL 109 80 0 13 Oct 2020
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning ByungSoo Ko Geonmo Gu 85 53 0 05 Mar 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 161 113 0 05 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,354 0 12 Dec 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,945 0 09 Jun 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018
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 296 39,198 0 01 Sep 2014
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 242 31,257 0 16 Jan 2013
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 163 25,256 0 09 Jun 2011