SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data

9 December 2020

Papers citing "SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data"

17 / 17 papers shown

Title
SUMix: Mixup with Semantic and Uncertain Information Huafeng Qin Xin Jin Hongyu Zhu Hongchao Liao M. El-Yacoubi Xinbo Gao UQCV 31 6 0 10 Jul 2024
Long-Tailed Continual Learning For Visual Food Recognition Jiangpeng He Luotao Lin Jack Ma H. Eicher-Miller F. Zhu Fengqing M Zhu 59 14 0 01 Jul 2023
Semantic Feature Integration network for Fine-grained Visual Classification Haibo Wang Yueyang Li Haichi Luo 42 0 0 13 Feb 2023
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
LUMix: Improving Mixup by Better Modelling Label Uncertainty Shuyang Sun Jieneng Chen Ruifei He Alan Yuille Philip H. S. Torr Song Bai UQCV NoLa 18 5 0 29 Nov 2022
Fine-Grained Visual Classification using Self Assessment Classifier Tuong Khanh Long Do Huy Tran Erman Tjiputra Quang-Dieu Tran Anh Nguyen 35 12 0 21 May 2022
RecursiveMix: Mixed Learning with History Lingfeng Yang Xiang Li Borui Zhao Renjie Song Jian Yang VLM 29 18 0 14 Mar 2022
Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information Lingfeng Yang Xiang Li Renjie Song Borui Zhao J. Tao Shihao Zhou Jiajun Liang Jian Yang 26 37 0 07 Mar 2022
Progressive Multi-stage Interactive Training in Mobile Network for Fine-grained Recognition Zhenxin Wu Qingliang Chen Yifeng Liu Yinqi Zhang Chengkai Zhu Yang Yu ObjD 32 0 0 08 Dec 2021
Human Attention in Fine-grained Classification Yao Rong Wenjia Xu Zeynep Akata Enkelejda Kasneci 43 35 0 02 Nov 2021
StackMix and Blot Augmentations for Handwritten Text Recognition Alex Shonenkov Denis Karachev Maxim Novopoltsev M. Potanin Denis Dimitrov 34 5 0 26 Aug 2021
An overview of mixing augmentation methods and augmentation strategies Dominik Lewy Jacek Mańdziuk 23 60 0 21 Jul 2021
Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition Xinda Liu Lili Wang Xiaoguang Han ViT 39 66 0 14 Jul 2021
Survey: Image Mixing and Deleting for Data Augmentation Humza Naveed Saeed Anwar Munawar Hayat Kashif Javed Ajmal Mian 38 78 0 13 Jun 2021
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Xiuming Zhang Dacheng Tao Xinchao Wang 160 226 0 23 Mar 2020
Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition Ming-hui Sun Yuchen Yuan Feng Zhou Errui Ding 125 350 0 14 Jun 2018
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification Tianjun Xiao Yichong Xu Kuiyuan Yang Jiaxing Zhang Yuxin Peng Zheng-Wei Zhang 158 789 0 24 Nov 2014