Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup

15 September 2020

Papers citing "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup"

32 / 82 papers shown

Title
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers Jihao Liu B. Liu Hang Zhou Hongsheng Li Yu Liu ViT 24 66 0 18 Jul 2022
Teach me how to Interpolate a Myriad of Embeddings Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis 43 2 0 29 Jun 2022
Masked Autoencoders are Robust Data Augmentors Haohang Xu Shuangrui Ding Xiaopeng Zhang H. Xiong 35 27 0 10 Jun 2022
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping Junlin Han L. Petersson Hongdong Li Ian Reid 33 9 0 31 May 2022
RandoMix: A mixed sample data augmentation method with multiple mixed modes Xiaoliang Liu Furao Shen Jian Zhao Changhai Nie 11 15 0 18 May 2022
Robust Representation via Dynamic Feature Aggregation Haozhe Liu Haoqin Ji Yuexiang Li Nanjun He Haoqian Wu Feng Liu Linlin Shen Yefeng Zheng AAML OOD 32 3 0 16 May 2022
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation Yujin Kim Jaehoon Oh Sungnyun Kim Se-Young Yun 29 6 0 13 May 2022
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding Le Zhang Zichao Yang Diyi Yang 36 24 0 12 May 2022
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning Mingle Xu Sook Yoon A. Fuentes D. Park VLM 27 398 0 03 May 2022
Harnessing Hard Mixed Samples with Decoupled Regularizer Zicheng Liu Siyuan Li Ge Wang Cheng Tan Lirong Wu Stan Z. Li 59 18 0 21 Mar 2022
RecursiveMix: Mixed Learning with History Lingfeng Yang Xiang Li Borui Zhao Renjie Song Jian Yang VLM 29 18 0 14 Mar 2022
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision Kecheng Zhang Xiahai Zhuang 21 68 0 03 Mar 2022
Model-Agnostic Augmentation for Accurate Graph Classification Jaemin Yoo Sooyeon Shim U. Kang GNN 29 29 0 21 Feb 2022
Preventing Manifold Intrusion with Locality: Local Mixup Raphael Baena Lucas Drumetz Vincent Gripon AAML 21 15 0 12 Jan 2022
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing Joonhyung Park J. Yang Jinwoo Shin Sung Ju Hwang Eunho Yang 30 23 0 16 Dec 2021
A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap? Nathan G. Drenkow Numair Sani I. Shpitser Mathias Unberath 19 75 0 01 Dec 2021
Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup Siyuan Li Zicheng Liu Zedong Wang Di Wu Zihan Liu Stan Z. Li 35 26 0 30 Nov 2021
TransMix: Attend to Mix for Vision Transformers Jieneng Chen Shuyang Sun Ju He Philip Torr Alan Yuille S. Bai ViT 28 103 0 18 Nov 2021
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation Joonhyung Park Hajin Shim Eunho Yang 79 49 0 10 Nov 2021
Towards Understanding the Data Dependency of Mixup-style Training Muthuraman Chidambaram Xiang Wang Yuzheng Hu Chenwei Wu Rong Ge UQCV 47 24 0 14 Oct 2021
Observations on K-image Expansion of Image-Mixing Augmentation for Classification Joonhyun Jeong Sungmin Cha Jongwon Choi Sangdoo Yun Taesup Moon Y. Yoo VLM 21 6 0 08 Oct 2021
Mix3D: Out-of-Context Data Augmentation for 3D Scenes Alexey Nekrasov Jonas Schult Or Litany Bastian Leibe Francis Engelmann 3DPC 164 154 0 05 Oct 2021
Robust Semantic Segmentation with Superpixel-Mix Gianni Franchi Nacim Belkhir Mai Lan Ha Yufei Hu Andrei Bursuc V. Blanz Angela Yao UQCV 36 22 0 02 Aug 2021
An overview of mixing augmentation methods and augmentation strategies Dominik Lewy Jacek Mańdziuk 23 61 0 21 Jul 2021
SSMix: Saliency-Based Span Mixup for Text Classification Soyoung Yoon Gyuwan Kim Kyumin Park 22 68 0 15 Jun 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
It Takes Two to Tango: Mixup for Deep Metric Learning Shashanka Venkataramanan Bill Psomas Ewa Kijak Laurent Amsaleg Konstantinos Karantzalos Yannis Avrithis 23 25 0 09 Jun 2021
AlignMixup: Improving Representations By Interpolating Aligned Features Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis WSOL 33 61 0 29 Mar 2021
When and How Mixup Improves Calibration Linjun Zhang Zhun Deng Kenji Kawaguchi James Zou UQCV 31 67 0 11 Feb 2021
How Does Mixup Help With Robustness and Generalization? Linjun Zhang Zhun Deng Kenji Kawaguchi Amirata Ghorbani James Zou AAML 20 244 0 09 Oct 2020
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks Mojtaba Faramarzi Mohammad Amini Akilesh Badrinaaraayanan Vikas Verma A. Chandar AAML 34 31 0 14 Jun 2020
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey Jérôme Rony Soufiane Belharbi Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 25 70 0 08 Sep 2019