CellMix: A General Instance Relationship based Method for Data
Augmentation Towards Pathology Image Classification

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CellMix: A General Instance Relationship based Method for Data Augmentation Towards Pathology Image Classification

27 January 2023

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Papers citing "CellMix: A General Instance Relationship based Method for Data Augmentation Towards Pathology Image Classification"

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Title
Shuffle Instances-based Vision Transformer for Pancreatic Cancer ROSE Image Classification Tianyi Zhang Youdan Feng Yun Feng Yu Zhao Y. Lei Nan Ying Zhiling Yan Yufang He Guanglei Zhang 50 7 0 14 Aug 2022
Competence-based Multimodal Curriculum Learning for Medical Report Generation Fenglin Liu Shen Ge Yuexian Zou Xian Wu MedIm 79 140 0 24 Jun 2022
RandoMix: A mixed sample data augmentation method with multiple mixed modes Xiaoliang Liu Furao Shen Jian Zhao Changhai Nie 41 15 0 18 May 2022
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification Thomas Stegmüller Behzad Bozorgtabar A. Spahr Jean-Philippe Thiran ViT MedIm 79 43 0 15 Feb 2022
Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image Zeyu Gao Bangyang Hong Xianli Zhang Yang Li Chang Jia Jialun Wu Chunbao Wang Deyu Meng Chen Li MedIm 54 58 0 23 Jun 2021
Dialogue Response Selection with Hierarchical Curriculum Learning Yixuan Su Deng Cai Qingyu Zhou Zibo Lin Simon Baker Yunbo Cao Shuming Shi Nigel Collier Yan Wang 103 49 0 29 Dec 2020
ResizeMix: Mixing Data with Preserved Object Information and True Labels Jie Qin Jiemin Fang Qian Zhang Wenyu Liu Xingang Wang Xinggang Wang 72 86 0 21 Dec 2020
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup Jang-Hyun Kim Wonho Choo Hyun Oh Song AAML 91 390 0 15 Sep 2020
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization A. Uddin Sirazam Monira Wheemyung Shin TaeChoong Chung Sung-Ho Bae 81 228 0 02 Jun 2020
Conformer: Convolution-augmented Transformer for Speech Recognition Anmol Gulati James Qin Chung-Cheng Chiu Niki Parmar Yu Zhang ... Wei Han Shibo Wang Zhengdong Zhang Yonghui Wu Ruoming Pang 229 3,155 0 16 May 2020
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 622 4,802 0 13 May 2019
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 289 9,803 0 25 Oct 2017
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 129 3,774 0 15 Aug 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.2K 20,892 0 17 Apr 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 324 20,086 0 07 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.4K 14,608 0 07 Oct 2016