ResizeMix: Mixing Data with Preserved Object Information and True Labels

21 December 2020

Papers citing "ResizeMix: Mixing Data with Preserved Object Information and True Labels"

22 / 22 papers shown

Title
MDIT: A Model-free Data Interpolation Method for Diverse Instruction Tuning Yangning Li Zihua Lan Lv Qingsong Yinghui Li Hai-Tao Zheng 31 0 0 09 Apr 2025
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning Haorong Han Jidong Yuan Chixuan Wei Zhongyang Yu 164 1 0 14 Dec 2024
SUMix: Mixup with Semantic and Uncertain Information Huafeng Qin Xin Jin Hongyu Zhu Hongchao Liao M. El-Yacoubi Xinbo Gao UQCV 28 5 0 10 Jul 2024
StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein Identification Xin Jin Hongyu Zhu M. El-Yacoubi Hongchao Liao Huafeng Qin Yun Jiang 37 6 0 21 May 2024
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution Zeynep Özdemir H. Keles Ö. Ö. Tanriöver 36 0 0 25 Apr 2024
Inter-Instance Similarity Modeling for Contrastive Learning Chen Shen Dawei Liu H. Tang Zhe Qu Jianxin Wang SSL 26 4 0 21 Jun 2023
Unproportional mosaicing Vojtech Molek P. Hurtík Pavel Vlasánek D. Adamczyk 19 1 0 03 Mar 2023
SMMix: Self-Motivated Image Mixing for Vision Transformers Mengzhao Chen Mingbao Lin Zhihang Lin Yu-xin Zhang Fei Chao Rongrong Ji 45 10 0 26 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 23 1 0 09 Dec 2022
LUMix: Improving Mixup by Better Modelling Label Uncertainty Shuyang Sun Jieneng Chen Ruifei He Alan Yuille Philip H. S. Torr Song Bai UQCV NoLa 13 5 0 29 Nov 2022
Supervised Contrastive Learning on Blended Images for Long-tailed Recognition Minki Jeong Changick Kim 27 1 0 22 Nov 2022
Token-Label Alignment for Vision Transformers Han Xiao Wenzhao Zheng Zhengbiao Zhu Jie Zhou Jiwen Lu 8 4 0 12 Oct 2022
MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation Zeming Dong Qiang Hu Yuejun Guo Maxime Cordy Mike Papadakis Zhenya Zhang Yves Le Traon Jianjun Zhao 25 8 0 06 Oct 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective Chanwoo Park Sangdoo Yun Sanghyuk Chun AAML 18 32 0 21 Aug 2022
AugRmixAT: A Data Processing and Training Method for Improving Multiple Robustness and Generalization Performance Xiaoliang Liu S. Furao Jian Zhao Changhai Nie AAML 13 1 0 21 Jul 2022
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers Jihao Liu B. Liu Hang Zhou Hongsheng Li Yu Liu ViT 12 66 0 18 Jul 2022
RandoMix: A mixed sample data augmentation method with multiple mixed modes Xiaoliang Liu F. Shen Jian Zhao Changhai Nie 11 15 0 18 May 2022
Harnessing Hard Mixed Samples with Decoupled Regularizer Zicheng Liu Siyuan Li Ge Wang Cheng Tan Lirong Wu Stan Z. Li 53 18 0 21 Mar 2022
Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup Siyuan Li Zicheng Liu Zedong Wang Di Wu Zihan Liu Stan Z. Li 32 26 0 30 Nov 2021
Survey: Image Mixing and Deleting for Data Augmentation Humza Naveed Saeed Anwar Munawar Hayat Kashif Javed Ajmal Mian 30 78 0 13 Jun 2021
AlignMixup: Improving Representations By Interpolating Aligned Features Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis WSOL 25 61 0 29 Mar 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 223 512 0 11 Feb 2021