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"

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Title
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation Muthuraman Chidambaram Rong Ge AAML 35 0 0 10 Feb 2024
ControlUDA: Controllable Diffusion-assisted Unsupervised Domain Adaptation for Cross-Weather Semantic Segmentation Fengyi Shen Li Zhou Kagan Kucukaytekin Ziyuan Liu He Wang Alois C. Knoll DiffM 31 2 0 09 Feb 2024
Pushing Boundaries: Mixup's Influence on Neural Collapse Quinn Fisher Haoming Meng Vardan Papyan AAML UQCV 49 5 0 09 Feb 2024
Linearizing Models for Efficient yet Robust Private Inference Sreetama Sarkar Souvik Kundu Peter A. Beerel AAML 22 0 0 08 Feb 2024
Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss Functions Kelsey Lieberman Shuai Yuan Swarna Kamlam Ravindran Carlo Tomasi 34 0 0 08 Feb 2024
AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a Single High-Resolution Image H. A. Amirkolaee Miaojing Shi Lianghua He Mark Mulligan 31 1 0 05 Feb 2024
NOAH: Learning Pairwise Object Category Attentions for Image Classification Chao Li Aojun Zhou Anbang Yao VLM 38 2 0 04 Feb 2024
ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation Zihan Li Yuan Zheng Dandan Shan Shuzhou Yang Qingde Li Beizhan Wang Yuan-ting Zhang Qingqi Hong Dinggang Shen ViT MedIm 43 39 0 03 Feb 2024
Data Augmentation Scheme for Raman Spectra with Highly Correlated Annotations Christoph Lange I. Thiele L. Santolin S. Riedel M. Borisyak Peter Neubauer M. N. C. Bournazou 16 0 0 01 Feb 2024
Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues Soufiane Belharbi M. Pedersoli A. L. Koerich Simon L Bacon Eric Granger 58 12 0 01 Feb 2024
Multilinear Operator Networks Yixin Cheng Grigorios G. Chrysos Markos Georgopoulos V. Cevher 37 7 0 31 Jan 2024
Game-Theoretic Unlearnable Example Generator Shuang Liu Yihan Wang Xiao-Shan Gao AAML 32 8 0 31 Jan 2024
Neural Loss Function Evolution for Large-Scale Image Classifier Convolutional Neural Networks Brandon Morgan Dean Frederick Hougen 22 2 0 30 Jan 2024
Depth Anything in Medical Images: A Comparative Study John J. Han Ayberk Acar Callahan Henry Jie Ying Wu MedIm 38 9 0 29 Jan 2024
Generating Multi-Center Classifier via Conditional Gaussian Distribution Zhemin Zhang Xun Gong 31 0 0 29 Jan 2024
A Survey on Data Augmentation in Large Model Era Yue Zhou Chenlu Guo Xu Wang Yi-Ju Chang Yuan Wu LM&MA VLM 54 24 0 27 Jan 2024
Do deep neural networks utilize the weight space efficiently? Onur Can Koyun B. U. Toreyin 24 0 0 26 Jan 2024
Deconstructing Denoising Diffusion Models for Self-Supervised Learning Xinlei Chen Zhuang Liu Saining Xie Kaiming He DiffM 38 54 0 25 Jan 2024
Rethinking Patch Dependence for Masked Autoencoders Letian Fu Long Lian Renhao Wang Baifeng Shi Xudong Wang Adam Yala Trevor Darrell Alexei A. Efros Ken Goldberg 39 14 0 25 Jan 2024
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN Minsoo Kang Minkoo Kang Suhyun Kim 25 3 0 24 Jan 2024
Augmenting Prototype Network with TransMix for Few-shot Hyperspectral Image Classification Chun Liu Longwei Yang Dongmei Dong Zheng Li Wei Yang Zhigang Han Jiayao Wang 26 0 0 22 Jan 2024
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data Lihe Yang Bingyi Kang Zilong Huang Xiaogang Xu Jiashi Feng Hengshuang Zhao VLM 158 721 0 19 Jan 2024
Data Augmentation for Traffic Classification Chao Wang A. Finamore Pietro Michiardi Massimo Gallo Dario Rossi 47 6 0 19 Jan 2024
Exploring Color Invariance through Image-Level Ensemble Learning Yunpeng Gong Jiaquan Li Lifei Chen Min Jiang 12 15 0 19 Jan 2024
Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields Z. Babaiee Peyman M. Kiasari Daniela Rus Radu Grosu MDE 16 3 0 18 Jan 2024
ContextMix: A context-aware data augmentation method for industrial visual inspection systems Hyungmin Kim Donghun Kim Pyunghwan Ahn Sungho Suh Hansang Cho Junmo Kim 36 2 0 18 Jan 2024
Improving Limited Supervised Foot Ulcer Segmentation Using Cross-Domain Augmentation Shang-Jui Kuo Po-Han Huang Chia-Ching Lin Jeng-Lin Li Ming-Ching Chang 30 2 0 16 Jan 2024
Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention Xin Yang Wending Yan Yuan. Yuan Michael Bi Mi Robby T. Tan CLL 37 4 0 15 Jan 2024
MIMIC: Mask Image Pre-training with Mix Contrastive Fine-tuning for Facial Expression Recognition Fan Zhang Xiaobao Guo Xiaojiang Peng Alex C. Kot 27 0 0 14 Jan 2024
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models Mingli Zhu Zihao Zhu Sihong Chen Chen Chen Baoyuan Wu CLL 44 3 0 14 Jan 2024
Image edge enhancement for effective image classification Tianhao Bu Michalis Lazarou Tania Stathaki 26 2 0 13 Jan 2024
YOLO-Former: YOLO Shakes Hand With ViT J. Khoramdel A. Moori Y. Borhani A. Ghanbarzadeh Esmaeil Najafi ViT 24 2 0 11 Jan 2024
Evaluating Data Augmentation Techniques for Coffee Leaf Disease Classification Adrian Gheorghiu Iulian-Marius Taiatu Dumitru-Clementin Cercel Iuliana Marin Florin-Catalin Pop 59 2 0 11 Jan 2024
CoLafier: Collaborative Noisy Label Purifier With Local Intrinsic Dimensionality Guidance Dongyu Zhang Ruofan Hu Elke A. Rundensteiner 42 0 0 10 Jan 2024
Revisiting Adversarial Training at Scale Zeyu Wang Xianhang Li Hongru Zhu Cihang Xie 46 16 0 09 Jan 2024
Low-Resource Vision Challenges for Foundation Models Yunhua Zhang Hazel Doughty Cees G. M. Snoek VLM 32 5 0 09 Jan 2024
Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning Kuo Yang Duo Li Menghan Hu Guangtao Zhai Xiaokang Yang Xiao-Ping Zhang 35 0 0 09 Jan 2024
Setting the Record Straight on Transformer Oversmoothing G. Dovonon M. Bronstein Matt J. Kusner 38 5 0 09 Jan 2024
Attention versus Contrastive Learning of Tabular Data -- A Data-centric Benchmarking S. B. Rabbani Ivan V. Medri Manar D. Samad 31 8 0 08 Jan 2024
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations Helen Qu Sang Michael Xie 31 5 0 08 Jan 2024
Fully Attentional Networks with Self-emerging Token Labeling Bingyin Zhao Zhiding Yu Shiyi Lan Yutao Cheng A. Anandkumar Yingjie Lao Jose M. Alvarez 991 6 0 08 Jan 2024
Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency Yunpeng Yao Man Wu Zheng Chen Renyuan Zhang 45 0 0 05 Jan 2024
GTA: Guided Transfer of Spatial Attention from Object-Centric Representations SeokHyun Seo Jinwoo Hong Jungwoo Chae Kyungyul Kim Sangheum Hwang 40 0 0 05 Jan 2024
Unsupervised hard Negative Augmentation for contrastive learning Yuxuan Shu Vasileios Lampos 23 1 0 05 Jan 2024
ShapeAug: Occlusion Augmentation for Event Camera Data Katharina Bendig René Schuster Didier Stricker 77 6 0 04 Jan 2024
Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket Zhaokun Zhou Kaiwei Che Wei Fang Keyu Tian Yuesheng Zhu Shuicheng Yan Yonghong Tian Liuliang Yuan ViT 43 29 0 04 Jan 2024
Diffusion Models, Image Super-Resolution And Everything: A Survey Brian B. Moser Arundhati S. Shanbhag Federico Raue Stanislav Frolov Sebastián M. Palacio Andreas Dengel 33 35 0 01 Jan 2024
FerKD: Surgical Label Adaptation for Efficient Distillation Zhiqiang Shen 39 3 0 29 Dec 2023
Learning Vision from Models Rivals Learning Vision from Data Yonglong Tian Lijie Fan Kaifeng Chen Dina Katabi Dilip Krishnan Phillip Isola 29 46 0 28 Dec 2023
Revisiting Knowledge Distillation under Distribution Shift Songming Zhang Ziyu Lyu Xiaofeng Chen 37 1 0 25 Dec 2023