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 / 2,509 papers shown

Title
8-bit Numerical Formats for Deep Neural Networks Badreddine Noune Philip Jones Daniel Justus Dominic Masters Carlo Luschi MQ 34 34 0 06 Jun 2022
Separable Self-attention for Mobile Vision Transformers Sachin Mehta Mohammad Rastegari ViT MQ 39 253 0 06 Jun 2022
AugLoss: A Robust Augmentation-based Fine Tuning Methodology Kyle Otstot J. Cava Tyler Sypherd Lalitha Sankar 31 0 0 05 Jun 2022
Semi-Supervised Learning for Mars Imagery Classification and Segmentation Wenjing Wang Lilang Lin Zejia Fan Jiaying Liu SSL 27 10 0 05 Jun 2022
Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to Better Classify Objects in Videos Sukjun Hwang Miran Heo Seoung Wug Oh Seon Joo Kim VOT 55 6 0 05 Jun 2022
CVNets: High Performance Library for Computer Vision Sachin Mehta Farzad Abdolhosseini Mohammad Rastegari 34 20 0 04 Jun 2022
Adversarial Unlearning: Reducing Confidence Along Adversarial Directions Amrith Rajagopal Setlur Benjamin Eysenbach Virginia Smith Sergey Levine 24 18 0 03 Jun 2022
Hard Negative Sampling Strategies for Contrastive Representation Learning Afrina Tabassum Muntasir Wahed Hoda Eldardiry Ismini Lourentzou SSL 43 24 0 02 Jun 2022
Is Mapping Necessary for Realistic PointGoal Navigation? Ruslan Partsey Erik Wijmans Naoki Yokoyama Oles Dobosevych Dhruv Batra Oleksandr Maksymets 3DPC 41 41 0 02 Jun 2022
Generalized Supervised Contrastive Learning Jaewon Kim Hyuk-Gi Lee Jooyoung Chang S. Park SSL AILaw 25 1 0 01 Jun 2022
Vision GNN: An Image is Worth Graph of Nodes Kai Han Yunhe Wang Jianyuan Guo Yehui Tang Enhua Wu GNN 3DH 40 359 0 01 Jun 2022
Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance with Expanded Views Junbo Zhang Kaisheng Ma 41 43 0 01 Jun 2022
Learning Instance-Specific Augmentations by Capturing Local Invariances Ning Miao Tom Rainforth Emile Mathieu Yann Dubois Yee Whye Teh Adam Foster Hyunjik Kim 48 11 0 31 May 2022
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping Junlin Han L. Petersson Hongdong Li Ian Reid 48 9 0 31 May 2022
Voxel Field Fusion for 3D Object Detection Yanwei Li Xiaojuan Qi Yukang Chen Liwei Wang Zeming Li Jian Sun Jiaya Jia 141 80 0 31 May 2022
Dataset Condensation via Efficient Synthetic-Data Parameterization Jang-Hyun Kim Jinuk Kim Seong Joon Oh Sangdoo Yun Hwanjun Song Joonhyun Jeong Jung-Woo Ha Hyun Oh Song DD 434 164 0 30 May 2022
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks Bin Hu Yu Sun •. A. K. Qin AI4CE 41 0 0 29 May 2022
MDMLP: Image Classification from Scratch on Small Datasets with MLP Tianxu Lv Chongyang Bai Chaojie Wang 42 6 0 28 May 2022
A Closer Look at Self-Supervised Lightweight Vision Transformers Shaoru Wang Jin Gao Zeming Li Jian Sun Weiming Hu ViT 73 42 0 28 May 2022
WaveMix: A Resource-efficient Neural Network for Image Analysis Pranav Jeevan Kavitha Viswanathan S. AnanduA A. Sethi 62 20 0 28 May 2022
On the Symmetries of Deep Learning Models and their Internal Representations Charles Godfrey Davis Brown Tegan H. Emerson Henry Kvinge 40 40 0 27 May 2022
Spartan: Differentiable Sparsity via Regularized Transportation Kai Sheng Tai Taipeng Tian Ser-Nam Lim 42 11 0 27 May 2022
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN Siyuan Li Di Wu Fang Wu Lei Shang Stan.Z.Li 39 48 0 27 May 2022
CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping Jilan Xu Junlin Hou Yuejie Zhang Rui Feng Ruiwei Zhao Tao Zhang Xuequan Lu Shang Gao WSOL 47 38 0 27 May 2022
X-ViT: High Performance Linear Vision Transformer without Softmax Jeonggeun Song Heung-Chang Lee ViT 33 2 0 27 May 2022
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition Shoufa Chen Chongjian Ge Zhan Tong Jiangliu Wang Yibing Song Jue Wang Ping Luo 156 649 0 26 May 2022
MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers Jihao Liu Xin Huang Jinliang Zheng Yu Liu Hongsheng Li 40 53 0 26 May 2022
Dual-Perspective Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels Tao Pu Tianshui Chen Hefeng Wu Yukai Shi Zhijing Yang Liang Lin 41 11 0 26 May 2022
MoCoViT: Mobile Convolutional Vision Transformer Hailong Ma Xin Xia Xing Wang Xuefeng Xiao Jiashi Li Min Zheng ViT 66 18 0 25 May 2022
Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers Bin Ren Yahui Liu Yue Song Wei Bi Rita Cucchiara N. Sebe Wei Wang 60 25 0 25 May 2022
EventMix: An Efficient Augmentation Strategy for Event-Based Data Guobin Shen Dongcheng Zhao Yijing Zeng AI4TS 49 12 0 24 May 2022
Decoder Denoising Pretraining for Semantic Segmentation Emmanuel B. Asiedu Simon Kornblith Ting Chen Niki Parmar Matthias Minderer Mohammad Norouzi AI4CE 204 26 0 23 May 2022
CNNs Avoid Curse of Dimensionality by Learning on Patches Vamshi C. Madala S. Chandrasekaran Jason Bunk UQCV 60 5 0 22 May 2022
Vision Transformers in 2022: An Update on Tiny ImageNet Ethan Huynh ViT 36 11 0 21 May 2022
Fine-Grained Visual Classification using Self Assessment Classifier Tuong Khanh Long Do Huy Tran Erman Tjiputra Quang-Dieu Tran Anh Nguyen 57 13 0 21 May 2022
A Study on Transformer Configuration and Training Objective Fuzhao Xue Jianghai Chen Aixin Sun Xiaozhe Ren Zangwei Zheng Xiaoxin He Yongming Chen Xin Jiang Yang You 43 7 0 21 May 2022
Masterful: A Training Platform for Computer Vision Models S. Wookey Yaoshiang Ho Thomas D. Rikert Juan David Gil Lopez Juan Manuel Munoz Beancur ... Ray Tawil Aaron Sabin Jack Lynch Travis Harper Nikhil Gajendrakumar VLM 28 1 0 21 May 2022
Test-time Batch Normalization Tao Yang Shenglong Zhou Yuwang Wang Yan Lu Nanning Zheng OOD 59 10 0 20 May 2022
Swapping Semantic Contents for Mixing Images Rémy Sun Clément Masson Gilles Hénaff Nicolas Thome Matthieu Cord 28 2 0 20 May 2022
Towards efficient feature sharing in MIMO architectures Rémy Sun Alexandre Ramé Clément Masson Nicolas Thome Matthieu Cord 78 6 0 20 May 2022
Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome E. Gordon-Rodríguez Thomas P. Quinn John P. Cunningham 60 7 0 20 May 2022
Interpolating Compressed Parameter Subspaces Siddhartha Datta N. Shadbolt 59 5 0 19 May 2022
Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic Segmentation Bruno A. Krinski Daniel V. Ruiz E. Todt 3DPC 41 2 0 19 May 2022
RandoMix: A mixed sample data augmentation method with multiple mixed modes Xiaoliang Liu Furao Shen Jian Zhao Changhai Nie 18 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 53 3 0 16 May 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks Siddhartha Datta AAML 73 4 0 15 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 82 350 0 13 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 47 6 0 13 May 2022
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding Le Zhang Zichao Yang Diyi Yang 48 24 0 12 May 2022
Distinction Maximization Loss: Efficiently Improving Out-of-Distribution Detection and Uncertainty Estimation by Replacing the Loss and Calibrating David Macêdo Cleber Zanchettin Teresa B Ludermir UQCV 61 4 0 12 May 2022