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Improved Regularization of Convolutional Neural Networks with Cutout

15 August 2017

Papers citing "Improved Regularization of Convolutional Neural Networks with Cutout"

50 / 1,908 papers shown

Title
Towards Effective Collaborative Learning in Long-Tailed Recognition Zhengzhuo Xu Zenghao Chai Chengying Xu Chun Yuan Haiqin Yang 82 5 0 05 May 2023
Contrastive Mean Teacher for Domain Adaptive Object Detectors Shengcao Cao D. Joshi Liangyan Gui Yu-Xiong Wang ObjD 128 64 0 04 May 2023
Simple Noisy Environment Augmentation for Reinforcement Learning Raad Khraishi Ramin Okhrati OffRL 40 1 0 04 May 2023
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning Ming-Kun Xie Jianxiong Xiao Hao-Zhe Liu Gang Niu Masashi Sugiyama Sheng-Jun Huang 99 22 0 04 May 2023
LatentAugment: Dynamically Optimized Latent Probabilities of Data Augmentation K. Kuriyama 51 1 0 04 May 2023
Stimulative Training++: Go Beyond The Performance Limits of Residual Networks XinYu Piao Tong He DoangJoo Synn Baopu Li Tao Chen Lei Bai Jong-Kook Kim 89 4 0 04 May 2023
Semi-supervised Road Updating Network (SRUNet): A Deep Learning Method for Road Updating from Remote Sensing Imagery and Historical Vector Maps Xin Chen Anzhu Yu Qun Sun Wenyue Guo Qing Xu Bowei Wen 95 0 0 28 Apr 2023
Self-discipline on multiple channels Jiutian Zhao Liangchen Luo Hao Wang 55 0 0 27 Apr 2023
Rotation and Translation Invariant Representation Learning with Implicit Neural Representations Sehyun Kwon Jooyoung Choi Ernest K. Ryu OOD 67 5 0 27 Apr 2023
iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-Mixer Toshihiro Ota Masato Taki 98 2 0 25 Apr 2023
Bayesian Optimization Meets Self-Distillation HyunJae Lee Heon Song Hyeonsoo Lee Gi-hyeon Lee Suyeong Park Donggeun Yoo UQCV BDL 82 2 0 25 Apr 2023
Shape-Net: Room Layout Estimation from Panoramic Images Robust to Occlusion using Knowledge Distillation with 3D Shapes as Additional Inputs M. Tabata Kana Kurata Junichiro Tamamatsu 3DV 3DPC 54 5 0 25 Apr 2023
Augmentation-based Domain Generalization for Semantic Segmentation Manuel Schwonberg Fadoua El Bouazati Nico M. Schmidt Hanno Gottschalk 94 8 0 24 Apr 2023
MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer QiHao Zhao Yangyu Huang Wei Hu Fan Zhang Jing Liu ViT 75 16 0 24 Apr 2023
Hierarchical Weight Averaging for Deep Neural Networks Xiaozhe Gu Zixun Zhang Yuncheng Jiang Yaoyu Zhang Ruimao Zhang Shuguang Cui Zhuguo Li 59 5 0 23 Apr 2023
LA3: Efficient Label-Aware AutoAugment Mingjun Zhao Sha Lu Zixuan Wang Xiaoli Wang Di Niu 58 1 0 20 Apr 2023
Physical Knowledge Enhanced Deep Neural Network for Sea Surface Temperature Prediction Yuxin Meng Feng Gao Eric Rigall Ran Dong Junyu Dong Q. Du 66 20 0 19 Apr 2023
Non-exemplar Class-incremental Learning by Random Auxiliary Classes Augmentation and Mixed Features Kenny Song Quan Xia Guoqiang Liang Zhaoji Chen Yanning Zhang CLL 55 6 0 16 Apr 2023
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions Luyang Luo Xi Wang Yi Lin Xiaoqi Ma Andong Tan R. Chan V. Vardhanabhuti W. C. Chu Kwang-Ting Cheng Hao Chen 108 60 0 13 Apr 2023
Few-shot Class-incremental Learning for Cross-domain Disease Classification Han Yang Weijian Huang Jiarun Liu Cheng Li Shanshan Wang CLL 66 4 0 12 Apr 2023
Revisiting Single-gated Mixtures of Experts Amelie Royer I. Karmanov Andrii Skliar B. Bejnordi Tijmen Blankevoort MoE MoMe 71 6 0 11 Apr 2023
Efficient Automation of Neural Network Design: A Survey on Differentiable Neural Architecture Search Alexandre Heuillet A. Nasser Hichem Arioui Hedi Tabia AI4CE 116 15 0 11 Apr 2023
DartsReNet: Exploring new RNN cells in ReNet architectures Brian B. Moser Federico Raue Jörn Hees Andreas Dengel AI4TS SSeg 71 4 0 11 Apr 2023
Use the Detection Transformer as a Data Augmenter Luping Wang B. Liu ViT 93 0 0 10 Apr 2023
Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning Wenxiang Xu Lin Chen Linyun Zhou Jie Lei Lechao Cheng Zunlei Feng Min-Gyoo Song 77 1 0 09 Apr 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review Li Shen Yan Sun Zhiyuan Yu Liang Ding Xinmei Tian Dacheng Tao VLM 105 43 0 07 Apr 2023
PopulAtion Parameter Averaging (PAPA) Alexia Jolicoeur-Martineau Emy Gervais Kilian Fatras Yan Zhang Simon Lacoste-Julien MoMe 110 21 0 06 Apr 2023
DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation Fengyi Shen A. Gurram Ziyuan Liu He Wang Alois Knoll 84 28 0 05 Apr 2023
On the Variance of Neural Network Training with respect to Test Sets and Distributions Keller Jordan OOD 46 11 0 04 Apr 2023
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning Ajinkya Tejankar Maziar Sanjabi Qifan Wang Sinong Wang Hamed Firooz Hamed Pirsiavash L Tan AAML 86 20 0 04 Apr 2023
Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection Chuandong Liu Chenqiang Gao Fangcen Liu Pengcheng Li Deyu Meng Xinbo Gao 3DPC 88 23 0 04 Apr 2023
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation Yang Jin Mengke Li Yang Lu Y. Cheung Hanzi Wang 97 26 0 03 Apr 2023
Astroformer: More Data Might not be all you need for Classification Rishit Dagli 107 8 0 03 Apr 2023
SEENN: Towards Temporal Spiking Early-Exit Neural Networks Yuhang Li Tamar Geller Youngeun Kim Priyadarshini Panda 98 41 0 02 Apr 2023
You Only Train Once: Learning a General Anomaly Enhancement Network with Random Masks for Hyperspectral Anomaly Detection Zhaoxu Li Yingqian Wang Chao Xiao Qi Ling Zaiping Lin Wei An 67 36 0 31 Mar 2023
Neglected Free Lunch -- Learning Image Classifiers Using Annotation Byproducts Dongyoon Han Junsuk Choe Dante Chun John Joon Young Chung Minsuk Chang Sangdoo Yun Jean Y. Song Seong Joon Oh OOD 634 4 1 30 Mar 2023
Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms Florin Condrea S. Rapaka Lucian Itu Puneet Sharma J. Sperl Mohamed Ali Marius Leordeanu 55 5 0 30 Mar 2023
Do Neural Topic Models Really Need Dropout? Analysis of the Effect of Dropout in Topic Modeling Suman Adhya Avishek Lahiri Debarshi Kumar Sanyal 84 2 0 28 Mar 2023
Fully Hyperbolic Convolutional Neural Networks for Computer Vision Ahmad Bdeir Kristian Schwethelm Niels Landwehr 60 17 0 28 Mar 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts Jian Liang Ran He Tien-Ping Tan OOD VLM TTA 138 243 0 27 Mar 2023
What Can Human Sketches Do for Object Detection? Pinaki Nath Chowdhury A. Bhunia Aneeshan Sain Subhadeep Koley Tao Xiang Yi-Zhe Song ObjD 90 33 0 27 Mar 2023
Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks Tianrui Qin Xitong Gao Juanjuan Zhao Kejiang Ye Chengzhong Xu AAML MU 72 29 0 27 Mar 2023
Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation Tianli Zhang Mengqi Xue Jiangtao Zhang Haofei Zhang Yu Wang Lechao Cheng Mingli Song Mingli Song 61 6 0 26 Mar 2023
Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability Soyoun Won Sung-Ho Bae Seong Tae Kim 79 2 0 26 Mar 2023
Regularization of polynomial networks for image recognition Grigorios G. Chrysos Bohan Wang Jiankang Deng Volkan Cevher 62 12 0 24 Mar 2023
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias Puja Trivedi Danai Koutra Jayaraman J. Thiagarajan AAML 72 18 0 23 Mar 2023
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective Jinjing Zhu Haotian Bai Lin Wang ViT 143 78 0 23 Mar 2023
6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics Maximilian Ulmer M. Durner M. Sundermeyer Manuel Stoiber Rudolph Triebel 139 10 0 23 Mar 2023
MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks Xiang He Yang Li Dongcheng Zhao Qingqun Kong Yi Zeng 85 6 0 23 Mar 2023
Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency Vithursan Thangarasa Shreyas Saxena Abhay Gupta Sean Lie 108 5 0 21 Mar 2023