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
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation Jianing Zhu Geng Yu Jiangchao Yao Tongliang Liu Gang Niu Masashi Sugiyama Bo Han OODD 39 30 0 21 Oct 2023
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection Jiawen Zhu Choubo Ding Yu Tian Guansong Pang 50 12 0 19 Oct 2023
Towards Open-World Co-Salient Object Detection with Generative Uncertainty-aware Group Selective Exchange-Masking Yang Wu Shenglong Hu Huihui Song Kaihua Zhang Bo Liu Dong Liu 32 0 0 16 Oct 2023
DropMix: Better Graph Contrastive Learning with Harder Negative Samples Yueqi Ma Minjie Chen Xiang Li SSL 33 1 0 15 Oct 2023
Splicing Up Your Predictions with RNA Contrastive Learning Phil Fradkin Ruian Shi Bo Wang Brendan Frey Leo J. Lee SSL 34 0 0 12 Oct 2023
Survey on Imbalanced Data, Representation Learning and SEP Forecasting Josias Moukpe AI4TS 37 0 0 11 Oct 2023
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters Mateusz Michalkiewicz M. Faraki Xiang Yu Manmohan Chandraker Mahsa Baktash 24 3 0 11 Oct 2023
EViT: An Eagle Vision Transformer with Bi-Fovea Self-Attention Yulong Shi Mingwei Sun Yongshuai Wang Hui Sun Zengqiang Chen 39 4 0 10 Oct 2023
Data efficient deep learning for medical image analysis: A survey Suruchi Kumari Pravendra Singh 45 12 0 10 Oct 2023
Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing Wei Dong Dawei Yan Zhijun Lin Peng Wang 27 21 0 10 Oct 2023
DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised Transformers for Weakly Supervised Object Localization Shakeeb Murtaza Soufiane Belharbi M. Pedersoli Aydin Sarraf Eric Granger WSOL 50 9 0 09 Oct 2023
Unleashing the power of Neural Collapse for Transferability Estimation Yuhe Ding Bo Jiang Lijun Sheng Aihua Zheng Jian Liang CVBM 48 1 0 09 Oct 2023
Cross-head mutual Mean-Teaching for semi-supervised medical image segmentation Wei Li Ruifeng Bian Wenyi Zhao Weijing Xu Huihua Yang 47 0 0 08 Oct 2023
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers Zhenglin Huang Xianan Bao Na Zhang Qingqi Zhang Xiaomei Tu Biao Wu Xi Yang 34 7 0 07 Oct 2023
Towards Dynamic and Small Objects Refinement for Unsupervised Domain Adaptative Nighttime Semantic Segmentation Jingyi Pan Sihang Li Yucheng Chen Jinjin Zhu Lin Wang 17 2 0 07 Oct 2023
X-Transfer: A Transfer Learning-Based Framework for GAN-Generated Fake Image Detection Lei Zhang Hao Chen Shuangyan Hu Bin Zhu C. Lin Xi Wu Jinrong Hu Xin Wang 56 1 0 07 Oct 2023
A Holistic Evaluation of Piano Sound Quality Monan Zhou Shangda Wu Shaohua Ji Zijin Li Wei Li 32 0 0 07 Oct 2023
PriViT: Vision Transformers for Fast Private Inference Naren Dhyani Jianqiao Mo Minsu Cho Ameya Joshi Siddharth Garg Brandon Reagen Chinmay Hegde 28 4 0 06 Oct 2023
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning Peiran Xu Zeyu Wang Jieru Mei Liangqiong Qu Alan Yuille Cihang Xie Yuyin Zhou FedML 35 1 0 06 Oct 2023
Entropic Score metric: Decoupling Topology and Size in Training-free NAS Niccolò Cavagnero Luc Robbiano Francesca Pistilli Barbara Caputo Giuseppe Averta 31 3 0 06 Oct 2023
Diffusion Models as Masked Audio-Video Learners Elvis Nunez Yanzi Jin Mohammad Rastegari Sachin Mehta Maxwell Horton 25 2 0 05 Oct 2023
CSI: Enhancing the Robustness of 3D Point Cloud Recognition against Corruption Zhuoyuan Wu Jiachen Sun Chaowei Xiao 3DPC 41 1 0 05 Oct 2023
GET: Group Event Transformer for Event-Based Vision Yansong Peng Yueyi Zhang Zhiwei Xiong Xiaoyan Sun Feng Wu 55 39 0 04 Oct 2023
Improving Knowledge Distillation with Teacher's Explanation S. Chowdhury Ben Liang A. Tizghadam Ilijc Albanese FAtt 19 0 0 04 Oct 2023
Incorporating Supervised Domain Generalization into Data Augmentation Shohei Enomoto Monikka Roslianna Busto Takeharu Eda 38 0 0 02 Oct 2023
LS-VOS: Identifying Outliers in 3D Object Detections Using Latent Space Virtual Outlier Synthesis Aldi Piroli Vinzenz Dallabetta Johannes Kopp M. Walessa D. Meissner Klaus C. J. Dietmayer 28 5 0 02 Oct 2023
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? Atsuyuki Miyai Qing Yu Go Irie Kiyoharu Aizawa OODD 148 6 0 02 Oct 2023
The Sparsity Roofline: Understanding the Hardware Limits of Sparse Neural Networks Cameron Shinn Collin McCarthy Saurav Muralidharan Muhammad Osama John Douglas Owens 29 2 0 30 Sep 2023
On the Equivalence of Graph Convolution and Mixup Xiaotian Han Hanqing Zeng Yu Chen Shaoliang Nie Jingzhou Liu ... Karthik Abinav Sankararaman Song Jiang Madian Khabsa Qifan Wang Xia Hu 62 0 0 29 Sep 2023
SCoRe: Submodular Combinatorial Representation Learning Anay Majee Suraj Kothawade Krishnateja Killamsetty Rishabh K. Iyer 36 1 0 29 Sep 2023
Convolutional Networks with Oriented 1D Kernels Alexandre Kirchmeyer Jia Deng 24 4 0 27 Sep 2023
Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback Teresa Yeo Oğuzhan Fatih Kar Zahra Sodagar Amir Zamir TTA OOD 31 3 0 27 Sep 2023
Boosting High Resolution Image Classification with Scaling-up Transformers Yi Wang ViT 11 0 0 26 Sep 2023
Class Incremental Learning via Likelihood Ratio Based Task Prediction Haowei Lin Yijia Shao W. Qian Ningxin Pan Yiduo Guo Bing-Quan Liu CLL 46 13 0 26 Sep 2023
Structure Invariant Transformation for better Adversarial Transferability Xiaosen Wang Zeliang Zhang Jianping Zhang AAML 29 60 0 26 Sep 2023
Masked Image Residual Learning for Scaling Deeper Vision Transformers Guoxi Huang Hongtao Fu A. Bors 42 7 0 25 Sep 2023
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning B. U. Demirel Christian Holz AI4TS 29 18 0 23 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du Yiyou Sun Xiaojin Zhu Yixuan Li 35 54 0 23 Sep 2023
Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers Adam Pardyl Grzegorz Kurzejamski Jan Olszewski Tomasz Trzciñski Bartosz Zieliñski 33 1 0 23 Sep 2023
Order-preserving Consistency Regularization for Domain Adaptation and Generalization Mengmeng Jing Xiantong Zhen Jingjing Li Cees G. M. Snoek 32 4 0 23 Sep 2023
Background Activation Suppression for Weakly Supervised Object Localization and Semantic Segmentation Wei Zhai Ping Wu Kai Zhu Yang Cao Feng Wu Zheng-Jun Zha WSOL 37 18 0 22 Sep 2023
ThinResNet: A New Baseline for Structured Convolutional Networks Pruning Hugo Tessier Ghouti Boukli Hacene Vincent Gripon 28 1 0 22 Sep 2023
AMPLIFY:Attention-based Mixup for Performance Improvement and Label Smoothing in Transformer Leixin Yang Yu Xiang 33 0 0 22 Sep 2023
MoPA: Multi-Modal Prior Aided Domain Adaptation for 3D Semantic Segmentation Haozhi Cao Yuecong Xu Jianfei Yang Peng Yin Shenghai Yuan Lihua Xie 50 14 0 21 Sep 2023
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation K. K. Nakka Mathieu Salzmann DRL CoGe 28 2 0 20 Sep 2023
Weight Averaging Improves Knowledge Distillation under Domain Shift Valeriy Berezovskiy Nikita Morozov MoMe 36 1 0 20 Sep 2023
ModelGiF: Gradient Fields for Model Functional Distance Mingli Song Zhenxing Xu Sai Wu Gang Chen Mingli Song DiffM 32 5 0 20 Sep 2023
PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous Driving Zizhang Wu Xinyuan Chen Fan Song Yuanzhu Gan Tianhao Xu Jian Pu Rui Tang 18 0 0 20 Sep 2023
RMT: Retentive Networks Meet Vision Transformers Qihang Fan Huaibo Huang Mingrui Chen Hongmin Liu Ran He ViT 45 75 0 20 Sep 2023
Interpret Vision Transformers as ConvNets with Dynamic Convolutions Chong Zhou Chen Change Loy Bo Dai ViT 37 1 0 19 Sep 2023