Improved Regularization of Convolutional Neural Networks with Cutout

15 August 2017

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

50 / 798 papers shown

Title
On the Variance of Neural Network Training with respect to Test Sets and Distributions Keller Jordan OOD 24 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 30 19 0 04 Apr 2023
SEENN: Towards Temporal Spiking Early-Exit Neural Networks Yuhang Li Tamar Geller Youngeun Kim Priyadarshini Panda 26 38 0 02 Apr 2023
Fully Hyperbolic Convolutional Neural Networks for Computer Vision Ahmad Bdeir Kristian Schwethelm Niels Landwehr 46 10 0 28 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 33 5 0 26 Mar 2023
Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency Vithursan Thangarasa Shreyas Saxena Abhay Gupta Sean Lie 41 3 0 21 Mar 2023
Induced Feature Selection by Structured Pruning Nathan Hubens V. Delvigne M. Mancas B. Gosselin Marius Preda T. Zaharia 22 0 0 20 Mar 2023
Randomized Adversarial Training via Taylor Expansion Gao Jin Xinping Yi Dengyu Wu Ronghui Mu Xiaowei Huang AAML 49 34 0 19 Mar 2023
Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images Bouthaina Slika Fadi Dornaika H. Merdji K. Hammoudi ViT MedIm 31 0 0 18 Mar 2023
Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation Yuhao Lin Hai-Ming Xu Lingqiao Liu Jinan Zou Javen Qinfeng Shi 32 2 0 17 Mar 2023
Strong Baseline and Bag of Tricks for COVID-19 Detection of CT Scans Chih-Chung Hsu Chih-Yu Jian Chia-Ming Lee Chin-Han Tsai Shengxuan Dai 6 3 0 15 Mar 2023
Active Teacher for Semi-Supervised Object Detection Peng Mi Jianghang Lin Yiyi Zhou Yunhang Shen Gen Luo Xiaoshuai Sun Liujuan Cao Rongrong Fu Qiang Xu Rongrong Ji 57 61 0 15 Mar 2023
RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose Tao Jiang Peng Lu Li Zhang Ning Ma Rui Han Chengqi Lyu Yining Li Kai-xiang Chen 3DH 50 158 0 13 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Zhuliang Yu Yin Li Yong Jae Lee 27 10 0 13 Mar 2023
One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation Wan Liu Qi Lu Z. Zhuo Yaou Liu Chuyang Ye 40 7 0 13 Mar 2023
Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization Marin Scalbert Maria Vakalopoulou Florent Couzinié-Devy 21 2 0 10 Mar 2023
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks Tong Bu Wei Fang Jianhao Ding Penglin Dai Zhaofei Yu Tiejun Huang 113 197 0 08 Mar 2023
CUDA: Convolution-based Unlearnable Datasets Vinu Sankar Sadasivan Mahdi Soltanolkotabi S. Feizi MU 29 25 0 07 Mar 2023
Fine-Grained ImageNet Classification in the Wild Maria Lymperaiou Konstantinos Thomas Giorgos Stamou VLM 36 1 0 04 Mar 2023
Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation Yuxuan Duan Y. Hong Li Niu Liqing Zhang 48 51 0 04 Mar 2023
Unproportional mosaicing Vojtech Molek P. Hurtík Pavel Vlasánek D. Adamczyk 29 1 0 03 Mar 2023
Deep Neural Networks with Efficient Guaranteed Invariances M. Rath Alexandru Paul Condurache 23 4 0 02 Mar 2023
Dropout Reduces Underfitting Zhuang Liu Zhi-Qin John Xu Joseph Jin Zhiqiang Shen Trevor Darrell 50 36 0 02 Mar 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks Samyak Jain Sravanti Addepalli P. Sahu Priyam Dey R. Venkatesh Babu MoMe OOD 50 20 0 28 Feb 2023
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks Qingyan Meng Mingqing Xiao Shen Yan Yisen Wang Zhouchen Lin Zhimin Luo 34 39 0 28 Feb 2023
Hybrid machine-learned homogenization: Bayesian data mining and convolutional neural networks Julian Lißner F. Fritzen BDL 24 2 0 24 Feb 2023
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes Zecheng Hao Jianhao Ding Tong Bu Tiejun Huang Zhaofei Yu 43 40 0 21 Feb 2023
Defect Transfer GAN: Diverse Defect Synthesis for Data Augmentation Ruyu Wang Sabrina Hoppe Eduardo Monari Marco F. Huber 30 17 0 16 Feb 2023
Deep Anomaly Detection under Labeling Budget Constraints Aodong Li Chen Qiu Marius Kloft Padhraic Smyth Stephan Mandt Maja R. Rudolph 43 13 0 15 Feb 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn Jongwoo Ko Se-Young Yun 43 30 0 10 Feb 2023
GCNet: Probing Self-Similarity Learning for Generalized Counting Network Mingjie Wang Yande Li Jun Zhou Graham W. Taylor Minglun Gong 23 11 0 10 Feb 2023
Better Diffusion Models Further Improve Adversarial Training Zekai Wang Tianyu Pang Chao Du Min Lin Weiwei Liu Shuicheng Yan DiffM 31 210 0 09 Feb 2023
Reducing ANN-SNN Conversion Error through Residual Membrane Potential Zecheng Hao Tong Bu Jianhao Ding Tiejun Huang Zhaofei Yu 33 54 0 04 Feb 2023
Are Diffusion Models Vulnerable to Membership Inference Attacks? Jinhao Duan Fei Kong Shiqi Wang Xiaoshuang Shi Kaidi Xu 35 109 0 02 Feb 2023
Learning Prototype Classifiers for Long-Tailed Recognition Saurabh Sharma Yongqin Xian Ning Yu Ambuj K. Singh 43 13 0 01 Feb 2023
Domain-Generalizable Multiple-Domain Clustering Amit Rozner Barak Battash Lior Wolf Ofir Lindenbaum SSL OOD 54 8 0 31 Jan 2023
Rethinking Soft Label in Label Distribution Learning Perspective Seungbum Hong Jihun Yoon Bogyu Park Min-Kook Choi 36 0 0 31 Jan 2023
Skeleton-based Human Action Recognition via Convolutional Neural Networks (CNN) Ayman Ali Ekkasit Pinyoanuntapong Pu Wang Mohsen Dorodchi 3DH 20 10 0 31 Jan 2023
Towards Inference Efficient Deep Ensemble Learning Ziyue Li Kan Ren Yifan Yang Xinyang Jiang Yuqing Yang Dongsheng Li BDL 34 12 0 29 Jan 2023
Bayesian Self-Supervised Contrastive Learning B. Liu Bang-wei Wang Tianrui Li SSL BDL 34 4 0 27 Jan 2023
Improving Open-Set Semi-Supervised Learning with Self-Supervision Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand 39 7 0 24 Jan 2023
Data Augmentation Alone Can Improve Adversarial Training Lin Li Michael W. Spratling 21 50 0 24 Jan 2023
CADA-GAN: Context-Aware GAN with Data Augmentation Sofie Daniels Jiugeng Sun Jiaqing Xie 36 0 0 21 Jan 2023
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning Soumyadeep Pal Ren Wang Yuguang Yao Sijia Liu 50 6 0 20 Jan 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 60 121 0 17 Jan 2023
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation Trong-Hieu Nguyen-Mau Quoc-Huy Trinh Nhat-Tan Bui M. Tran Hai-Dang Nguyen MedIm 27 8 0 17 Jan 2023
ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation Kecheng Zhang Xiahai Zhuang 24 8 0 12 Jan 2023
Enhancing ResNet Image Classification Performance by using Parameterized Hypercomplex Multiplication Nazmul Shahadat Anthony Maida 33 6 0 11 Jan 2023
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation Zhiqiang Shen Peng Cao Hua Yang Xiaoli Liu Jinzhu Yang Osmar R. Zaiane 32 38 0 11 Jan 2023
Semi-Supervised Learning with Pseudo-Negative Labels for Image Classification Hao Xu Hui Xiao Huazheng Hao Li Dong Xiaojie Qiu Chengbin Peng VLM SSL 16 22 0 10 Jan 2023