CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

13 May 2019

Papers citing "CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features"

50 / 2,500 papers shown

Title
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning David S. W. Williams Matthew Gadd D. Martini Paul Newman OODD 11 13 0 01 Mar 2021
A Survey on Deep Semi-supervised Learning Xiangli Yang Zixing Song Irwin King Zenglin Xu 27 566 0 28 Feb 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models Jialin Peng Ye Wang VLM 14 58 0 28 Feb 2021
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 316 1,524 0 27 Feb 2021
What Doesn't Kill You Makes You Robust(er): How to Adversarially Train against Data Poisoning Jonas Geiping Liam H. Fowl Gowthami Somepalli Micah Goldblum Michael Moeller Tom Goldstein TDI AAML SILM 30 40 0 26 Feb 2021
FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation Yuhang Zang Chen Huang Chen Change Loy 21 112 0 25 Feb 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 316 3,625 0 24 Feb 2021
Rethinking Natural Adversarial Examples for Classification Models Xiao-Li Li Jianmin Li Ting Dai Jie Shi Jun Zhu Xiaolin Hu AAML VLM 28 13 0 23 Feb 2021
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks Jungmin Kwon Jeongseop Kim Hyunseong Park I. Choi 48 281 0 23 Feb 2021
Conditional Positional Encodings for Vision Transformers Xiangxiang Chu Zhi Tian Bo-Wen Zhang Xinlong Wang Chunhua Shen ViT 36 605 0 22 Feb 2021
Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation Zeju Li Konstantinos Kamnitsas Ben Glocker SSeg UQCV 20 127 0 20 Feb 2021
Unbiased Teacher for Semi-Supervised Object Detection Yen-Cheng Liu Chih-Yao Ma Zijian He Chia-Wen Kuo Kan Chen Peizhao Zhang Bichen Wu Z. Kira Peter Vajda 68 474 0 18 Feb 2021
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection Cheng Zhang Tai-Yu Pan Yandong Li Hexiang Hu D. Xuan Soravit Changpinyo Boqing Gong Wei-Lun Chao ObjD VLM 77 39 0 17 Feb 2021
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 216 424 0 17 Feb 2021
Dataset Condensation with Differentiable Siamese Augmentation Bo Zhao Hakan Bilen DD 205 291 0 16 Feb 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
Negative Data Augmentation Abhishek Sinha Kumar Ayush Jiaming Song Burak Uzkent Hongxia Jin Stefano Ermon 49 72 0 09 Feb 2021
Efficient Certified Defenses Against Patch Attacks on Image Classifiers J. H. Metzen Maksym Yatsura AAML 23 40 0 08 Feb 2021
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision Wonjae Kim Bokyung Son Ildoo Kim VLM CLIP 77 1,705 0 05 Feb 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity Jang-Hyun Kim Wonho Choo Hosan Jeong Hyun Oh Song 205 176 0 05 Feb 2021
CrossNorm and SelfNorm for Generalization under Distribution Shifts Zhiqiang Tang Yunhe Gao Yi Zhu Zhi-Li Zhang Mu Li Dimitris N. Metaxas OOD 30 51 0 04 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
Occluded Video Instance Segmentation: A Benchmark Jiyang Qi Yan Gao Yao Hu Xinggang Wang Xiaoyu Liu Xiang Bai Serge Belongie Alan Yuille Philip Torr S. Bai VOS VLM 27 135 0 02 Feb 2021
Admix: Enhancing the Transferability of Adversarial Attacks Xiaosen Wang Xu He Jingdong Wang Kun He AAML 83 193 0 31 Jan 2021
ObjectAug: Object-level Data Augmentation for Semantic Image Segmentation Jiawei Zhang Yanchun Zhang Xiaowei Xu 6 30 0 30 Jan 2021
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet Li-xin Yuan Yunpeng Chen Tao Wang Weihao Yu Yujun Shi Zihang Jiang Francis E. H. Tay Jiashi Feng Shuicheng Yan ViT 55 1,906 0 28 Jan 2021
Meta Adversarial Training against Universal Patches J. H. Metzen Nicole Finnie Robin Hutmacher OOD AAML 19 21 0 27 Jan 2021
ResLT: Residual Learning for Long-tailed Recognition Jiequan Cui Shu Liu Zhuotao Tian Zhisheng Zhong Jiaya Jia 18 127 0 26 Jan 2021
Learning Structral coherence Via Generative Adversarial Network for Single Image Super-Resolution Yuanzhuo Li Yunan Zheng Jie Chen Zhenyu Xu Yiguang Liu GAN 13 1 0 25 Jan 2021
Mask-based Data Augmentation for Semi-supervised Semantic Segmentation Ying-Cong Chen Xu Ouyang Kaiyue Zhu G. Agam 34 8 0 25 Jan 2021
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks N. Simard Guillaume Lagrange SSL 18 5 0 24 Jan 2021
Characterizing signal propagation to close the performance gap in unnormalized ResNets Andrew Brock Soham De Samuel L. Smith 34 120 0 21 Jan 2021
Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning Method Yunpeng Gong Liqin Huang Lifei Chen 40 27 0 21 Jan 2021
Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking Nan Jiang Kuiran Wang Xiaoke Peng Xuehui Yu Qiang Wang Junliang Xing Guorong Li Jian-jun Zhao G. Guo Zhenjun Han 30 90 0 21 Jan 2021
Removing Undesirable Feature Contributions Using Out-of-Distribution Data Saehyung Lee Changhwa Park Hyungyu Lee Jihun Yi Jonghyun Lee Sungroh Yoon OODD 11 24 0 17 Jan 2021
Improve Global Glomerulosclerosis Classification with Imbalanced Data using CircleMix Augmentation Yuzhe Lu Haichun Yang Zheyu Zhu Ruining Deng Agnes B. Fogo Yuankai Huo 14 1 0 16 Jan 2021
Random Shadows and Highlights: A new data augmentation method for extreme lighting conditions Osama Mazhar Jens Kober AAML 18 5 0 13 Jan 2021
Probabilistic Embeddings for Cross-Modal Retrieval Sanghyuk Chun Seong Joon Oh Rafael Sampaio de Rezende Yannis Kalantidis Diane Larlus UQCV 415 201 0 13 Jan 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels Sangdoo Yun Seong Joon Oh Byeongho Heo Dongyoon Han Junsuk Choe Sanghyuk Chun 414 142 0 13 Jan 2021
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 156 190 0 13 Jan 2021
Mixup Without Hesitation Hao Yu Huanyu Wang Jianxin Wu VLM 31 21 0 12 Jan 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks Hieu H. Pham Quoc V. Le 76 56 0 05 Jan 2021
PointCutMix: Regularization Strategy for Point Cloud Classification Jinlai Zhang Lvjie Chen Bojun Ouyang Binbin Liu Jihong Zhu Yujing Chen Yanmei Meng Danfeng Wu 3DPC 31 110 0 05 Jan 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir Fahad Shahbaz Khan M. Shah ViT 227 2,431 0 04 Jan 2021
Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge Xiu-Shen Wei Yu-Yan Xu Yazhou Yao Jia Wei Si Xi ... Taolue Xue Haipeng Jing Zhiheng Wang Tianming Zhang Mingwen Zhang 12 0 0 29 Dec 2020
Spatial Contrastive Learning for Few-Shot Classification Yassine Ouali C´eline Hudelot Myriam Tami 19 49 0 26 Dec 2020
Self-supervised Pre-training with Hard Examples Improves Visual Representations Chunyuan Li Xiujun Li Lei Zhang Baolin Peng Mingyuan Zhou Jianfeng Gao SSL 22 24 0 25 Dec 2020
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 152 6,567 0 23 Dec 2020
Exploring Data Augmentation for Multi-Modality 3D Object Detection Wenwei Zhang Zhe Wang Chen Change Loy 3DPC 27 24 0 23 Dec 2020
MetaAugment: Sample-Aware Data Augmentation Policy Learning Fengwei Zhou Jiawei Li Chuanlong Xie Fei Chen Lanqing Hong Rui Sun Zhenguo Li 21 28 0 22 Dec 2020