Deep Pyramidal Residual Networks

10 October 2016

Papers citing "Deep Pyramidal Residual Networks"

50 / 135 papers shown

Title
Observations on K-image Expansion of Image-Mixing Augmentation for Classification Joonhyun Jeong Sungmin Cha Jongwon Choi Sangdoo Yun Taesup Moon Y. Yoo VLM 28 6 0 08 Oct 2021
Rethinking Architecture Selection in Differentiable NAS Ruochen Wang Minhao Cheng Xiangning Chen Xiaocheng Tang Cho-Jui Hsieh 30 174 0 10 Aug 2021
Meta Gradient Adversarial Attack Zheng Yuan Jie Zhang Yunpei Jia Chuanqi Tan Tao Xue Shiguang Shan AAML 54 78 0 09 Aug 2021
Batch Normalization Preconditioning for Neural Network Training Susanna Lange Kyle E. Helfrich Qiang Ye 32 9 0 02 Aug 2021
An overview of mixing augmentation methods and augmentation strategies Dominik Lewy Jacek Mańdziuk 33 61 0 21 Jul 2021
Feature Mining: A Novel Training Strategy for Convolutional Neural Network Tianshu Xie Xuan Cheng Xiaomin Wang Minghui Liu Jiali Deng Ming Liu 39 5 0 18 Jul 2021
ShuffleBlock: Shuffle to Regularize Deep Convolutional Neural Networks Sudhakar Kumawat Gagan Kanojia Shanmuganathan Raman 21 5 0 17 Jun 2021
Survey: Image Mixing and Deleting for Data Augmentation Humza Naveed Saeed Anwar Munawar Hayat Kashif Javed Ajmal Mian 45 78 0 13 Jun 2021
DISCO: accurate Discrete Scale Convolutions Ivan Sosnovik A. Moskalev A. Smeulders 26 31 0 04 Jun 2021
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding Zizhao Zhang Han Zhang Long Zhao Ting Chen Sercan O. Arik Tomas Pfister ViT 25 169 0 26 May 2021
Boosting Masked Face Recognition with Multi-Task ArcFace David Montero Marcos Nieto P. Leskovský N. Aginako CVBM 33 48 0 20 Apr 2021
Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits Hojung Lee Jong-Seok Lee 25 8 0 01 Apr 2021
Rethinking Spatial Dimensions of Vision Transformers Byeongho Heo Sangdoo Yun Dongyoon Han Sanghyuk Chun Junsuk Choe Seong Joon Oh ViT 380 569 0 30 Mar 2021
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks Jungmin Kwon Jeongseop Kim Hyunseong Park I. Choi 48 283 0 23 Feb 2021
Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective Wuyang Chen Xinyu Gong Zhangyang Wang OOD 47 232 0 23 Feb 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels Sangdoo Yun Seong Joon Oh Byeongho Heo Dongyoon Han Junsuk Choe Sanghyuk Chun 414 143 0 13 Jan 2021
Unchain the Search Space with Hierarchical Differentiable Architecture Search Guanting Liu Yujie Zhong Sheng Guo Matthew R. Scott Weilin Huang AI4CE 29 2 0 11 Jan 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks Hieu H. Pham Quoc V. Le 76 56 0 05 Jan 2021
Facial Expressions as a Vulnerability in Face Recognition Alejandro Peña Ignacio Serna Aythami Morales Julian Fierrez Àgata Lapedriza CVBM 19 18 0 17 Nov 2020
Regularizing Neural Networks via Adversarial Model Perturbation Yaowei Zheng Richong Zhang Yongyi Mao AAML 30 95 0 10 Oct 2020
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification Oren Nuriel Sagie Benaim Lior Wolf 30 88 0 09 Oct 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization Pierre Foret Ariel Kleiner H. Mobahi Behnam Neyshabur AAML 127 1,286 0 03 Oct 2020
S3NAS: Fast NPU-aware Neural Architecture Search Methodology Jaeseong Lee Duseok Kang S. Ha 35 10 0 04 Sep 2020
Simulating Unknown Target Models for Query-Efficient Black-box Attacks Chen Ma L. Chen Junhai Yong MLAU OOD 43 17 0 02 Sep 2020
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search Yong Guo Yaofo Chen Yin Zheng P. Zhao Jian Chen Junzhou Huang Mingkui Tan 32 66 0 07 Jul 2020
Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification Bin Wang Bing Xue Mengjie Zhang 25 53 0 03 Jul 2020
Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution Yan Feng Baoyuan Wu Yanbo Fan Li Liu Zhifeng Li Shutao Xia AAML 32 6 0 15 Jun 2020
Entropic gradient descent algorithms and wide flat minima Fabrizio Pittorino C. Lucibello Christoph Feinauer Gabriele Perugini Carlo Baldassi Elizaveta Demyanenko R. Zecchina ODL MLT 43 33 0 14 Jun 2020
Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio Zhengsu Chen J. Niu Lingxi Xie Xuefeng Liu Longhui Wei Qi Tian 27 12 0 06 Apr 2020
Disturbance-immune Weight Sharing for Neural Architecture Search Shuaicheng Niu Jiaxiang Wu Yifan Zhang Yong Guo P. Zhao Junzhou Huang Mingkui Tan 20 27 0 29 Mar 2020
Fisheye Distortion Rectification from Deep Straight Lines Zhucun Xue Nan Xue Guisong Xia 34 12 0 25 Mar 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 29 62 0 25 Mar 2020
SuperMix: Supervising the Mixing Data Augmentation Ali Dabouei Sobhan Soleymani Fariborz Taherkhani Nasser M. Nasrabadi 24 98 0 10 Mar 2020
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods Sanghyuk Chun Seong Joon Oh Sangdoo Yun Dongyoon Han Junsuk Choe Y. Yoo AAML OOD 345 53 0 09 Mar 2020
On Feature Normalization and Data Augmentation Boyi Li Felix Wu Ser-Nam Lim Serge J. Belongie Kilian Q. Weinberger 26 134 0 25 Feb 2020
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization Xiangning Chen Cho-Jui Hsieh 37 203 0 12 Feb 2020
Adversarial AutoAugment Xinyu Zhang Qiang-qiang Wang Jian Zhang Zhaobai Zhong AAML 33 197 0 24 Dec 2019
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild Xin Chen Lingxi Xie Jun Wu Qi Tian 11 94 0 23 Dec 2019
Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks Luca Bertinetto Romain Mueller Konstantinos Tertikas Sina Samangooei Nicholas A. Lord OOD 34 132 0 19 Dec 2019
CSPNet: A New Backbone that can Enhance Learning Capability of CNN Chien-Yao Wang H. Liao I-Hau Yeh Yueh-hua Wu Ping-Yang Chen J. Hsieh 36 3,058 0 27 Nov 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 147 3,425 0 30 Sep 2019
Convolutional Neural Networks with Dynamic Regularization Yi Wang Zhen-Peng Bian Junhui Hou Lap-Pui Chau 21 21 0 26 Sep 2019
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation Jiawei Zhang Lin Meng 21 52 0 12 Sep 2019
Knowledge Transfer Graph for Deep Collaborative Learning Soma Minami Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi 30 9 0 10 Sep 2019
NLNL: Negative Learning for Noisy Labels Youngdong Kim Junho Yim Juseung Yun Junmo Kim NoLa 17 265 0 19 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 50 1,423 0 02 Aug 2019
Multi-level Wavelet Convolutional Neural Networks Pengju Liu Hongzhi Zhang Wei Lian W. Zuo 27 199 0 06 Jul 2019
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks Ziang Yan Yiwen Guo Changshui Zhang AAML 36 110 0 11 Jun 2019
A Preliminary Study on Data Augmentation of Deep Learning for Image Classification Benlin Hu Cheng-Hsun Lei Dong Wang Shu Zhang Zhenyu Chen 25 48 0 09 Jun 2019
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation Raphael Gontijo-Lopes Dong Yin Ben Poole Justin Gilmer E. D. Cubuk AAML 33 204 0 06 Jun 2019