Survey: Image Mixing and Deleting for Data Augmentation

Survey: Image Mixing and Deleting for Data Augmentation

13 June 2021

Saeed Anwar

Papers citing "Survey: Image Mixing and Deleting for Data Augmentation"

15 / 15 papers shown

Title
SEVA: Leveraging Single-Step Ensemble of Vicinal Augmentations for Test-Time Adaptation Zixuan Hu Yichun Hu Ling-yu Duan TTA 56 0 0 07 May 2025
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification Suorong Yang Furao Shen Jian Zhao AAML 31 1 0 10 Sep 2024
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 24 28 0 21 Dec 2022
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding Minh-Long Luu Zeyi Huang Eric P. Xing Yong Jae Lee Haohan Wang AAML 34 1 0 09 Dec 2022
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning Mingle Xu Sook Yoon A. Fuentes D. Park VLM 24 397 0 03 May 2022
Feature transforms for image data augmentation L. Nanni M. Paci S. Brahnam A. Lumini 25 19 0 24 Jan 2022
Towards Efficient and Data Agnostic Image Classification Training Pipeline for Embedded Systems K. Prokofiev V. Sovrasov 3DH 19 2 0 16 Aug 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
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
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection Dong Wang Yuan Zhang Kexin Zhang Liwei Wang 81 119 0 20 Mar 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,371 0 09 Mar 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 161 113 0 05 Mar 2020
Fully Convolutional Adaptation Networks for Semantic Segmentation Yiheng Zhang Zhaofan Qiu Ting Yao Dong Liu Tao Mei SSeg OOD 163 349 0 23 Apr 2018