DropBlock: A regularization method for convolutional networks

30 October 2018

Papers citing "DropBlock: A regularization method for convolutional networks"

50 / 153 papers shown

Title
Cross-Domain Few-Shot Learning by Representation Fusion Thomas Adler Johannes Brandstetter Michael Widrich Andreas Mayr David P. Kreil Michael K Kopp Günter Klambauer Sepp Hochreiter OOD 30 45 0 13 Oct 2020
Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation Moi Hoon Yap Ryo Hachiuma A. Alavi Raphael Brüngel B. Cassidy ... David Gillespie N. Reeves Joseph M Pappachan C. O'Shea E. Frank FedML 21 122 0 07 Oct 2020
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks Zhiqiang Shen Marios Savvides 31 63 0 17 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
Manifold attack K. Tran Fred-Maurice Ngole-Mboula Jean-Luc Starck AAML OOD 21 0 0 13 Sep 2020
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic Mahdi Rezaei Mohsen Azarmi 20 154 0 26 Aug 2020
Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D Jonah Philion Sanja Fidler 49 1,013 0 13 Aug 2020
Incomplete Descriptor Mining with Elastic Loss for Person Re-Identification Hongchen Tan Yuhao Bian Huasheng Wang Xiuping Liu Baocai Yin 25 70 0 10 Aug 2020
PP-YOLO: An Effective and Efficient Implementation of Object Detector Xiang Long Kaipeng Deng Guanzhong Wang Yan Zhang Qingqing Dang ... Hui Shen Jianguo Ren Shumin Han Errui Ding Shilei Wen ObjD 56 275 0 23 Jul 2020
Temporal Complementary Learning for Video Person Re-Identification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 29 109 0 18 Jul 2020
Automated Synthetic-to-Real Generalization Wuyang Chen Zhiding Yu Zhangyang Wang Anima Anandkumar 17 68 0 14 Jul 2020
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks Mojtaba Faramarzi Mohammad Amini Akilesh Badrinaaraayanan Vikas Verma A. Chandar AAML 34 31 0 14 Jun 2020
Rethinking Pre-training and Self-training Barret Zoph Golnaz Ghiasi Nayeon Lee Huayu Chen Hanxiao Liu E. D. Cubuk Quoc V. Le SSeg 48 645 0 11 Jun 2020
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and Beyond Wenhao Wang Fang Zhao Tianran Ouyang Ling Shao 19 49 0 11 Jun 2020
An Empirical Analysis of the Impact of Data Augmentation on Knowledge Distillation Deepan Das Haley Massa Abhimanyu Kulkarni Theodoros Rekatsinas 26 18 0 06 Jun 2020
Deep-Learning-based Automated Palm Tree Counting and Geolocation in Large Farms from Aerial Geotagged Images Adel Ammar Anis Koubaa 14 58 0 11 May 2020
YOLOv4: Optimal Speed and Accuracy of Object Detection Alexey Bochkovskiy Chien-Yao Wang H. Liao VLM ObjD 63 12,055 0 23 Apr 2020
ResNeSt: Split-Attention Networks Hang Zhang Chongruo Wu Zhongyue Zhang Yi Zhu Yanghua Peng ... Tong He Jonas W. Mueller R. Manmatha Mu Li Alex Smola 51 1,462 0 19 Apr 2020
The Role of the Hercules Autonomous Vehicle During the COVID-19 Pandemic: An Autonomous Logistic Vehicle for Contactless Goods Transportation Tianyu Liu Qinghai Liao Lu Gan Fulong Ma Jie-Zhi Cheng ... Peide Cai Yuxiang Sun Yandong Liu Lujia Wang M. Liu 19 12 0 16 Apr 2020
Channel Attention Residual U-Net for Retinal Vessel Segmentation Changlu Guo Marton Szemenyei Yangtao Hu Wenle Wang Wei Zhou Yugen Yi 24 45 0 07 Apr 2020
SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation Changlu Guo Marton Szemenyei Yugen Yi Wenle Wang Buer Chen Changqi Fan SSeg 33 310 0 07 Apr 2020
Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives Duo Li Qifeng Chen 153 19 0 24 Mar 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 262 656 0 23 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
Learning When and Where to Zoom with Deep Reinforcement Learning Burak Uzkent Stefano Ermon 27 66 0 01 Mar 2020
On Feature Normalization and Data Augmentation Boyi Li Felix Wu Ser-Nam Lim Serge J. Belongie Kilian Q. Weinberger 21 134 0 25 Feb 2020
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks Yehui Tang Yunhe Wang Yixing Xu Boxin Shi Chao Xu Chunjing Xu Chang Xu 17 38 0 23 Feb 2020
MaxUp: A Simple Way to Improve Generalization of Neural Network Training Chengyue Gong Tongzheng Ren Mao Ye Qiang Liu AAML 27 56 0 20 Feb 2020
Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification Yifeng Ding Shaoguo Wen Jiyang Xie Dongliang Chang Zhanyu Ma Zhongwei Si Haibin Ling 43 56 0 09 Feb 2020
Task Augmentation by Rotating for Meta-Learning Jialin Liu Rongrong Ji Chih-Min Lin 67 33 0 08 Feb 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation Hung-Yu Tseng Hsin-Ying Lee Jia-Bin Huang Ming-Hsuan Yang 32 387 0 23 Jan 2020
Optimized Generic Feature Learning for Few-shot Classification across Domains Tonmoy Saikia Thomas Brox Cordelia Schmid VLM 30 48 0 22 Jan 2020
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network Jungkyu Lee Taeryun Won Tae Kwan Lee Hyemin Lee Geonmo Gu K. Hong 34 57 0 17 Jan 2020
Proposal Learning for Semi-Supervised Object Detection Peng Tang Chetan Ramaiah Yan Wang Ran Xu Caiming Xiong 28 100 0 15 Jan 2020
GridMask Data Augmentation Pengguang Chen Shu Liu Hengshuang Zhao Xingquan Wang Jiaya Jia 29 310 0 13 Jan 2020
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search Xuanyi Dong Yi Yang 43 695 0 02 Jan 2020
Defective Convolutional Networks Tiange Luo Tianle Cai Mengxiao Zhang Siyu Chen Di He Liwei Wang AAML 30 3 0 19 Nov 2019
On the Regularization Properties of Structured Dropout Ambar Pal Connor Lane René Vidal B. Haeffele 16 13 0 30 Oct 2019
Occlusions for Effective Data Augmentation in Image Classification Ruth C. Fong Andrea Vedaldi 27 20 0 23 Oct 2019
When Does Self-supervision Improve Few-shot Learning? Jong-Chyi Su Subhransu Maji B. Hariharan 28 168 0 08 Oct 2019
Convolutional Neural Networks with Dynamic Regularization Yi Wang Zhen-Peng Bian Junhui Hou Lap-Pui Chau 21 21 0 26 Sep 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma Meng Qu Kenji Kawaguchi Alex Lamb Yoshua Bengio Arno Solin Jian Tang 33 62 0 25 Sep 2019
DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks Zehui Lin Pengfei Liu Luyao Huang Junkun Chen Xipeng Qiu Xuanjing Huang 3DPC 16 44 0 25 Jul 2019
Learning Data Augmentation Strategies for Object Detection Barret Zoph E. D. Cubuk Golnaz Ghiasi Nayeon Lee Jonathon Shlens Quoc V. Le 39 523 0 26 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning Han-Jia Ye Hexiang Hu De-Chuan Zhan 25 59 0 07 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
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 349 4,693 0 13 May 2019
Attention Augmented Convolutional Networks Irwan Bello Barret Zoph Ashish Vaswani Jonathon Shlens Quoc V. Le 46 999 0 22 Apr 2019
Many Task Learning with Task Routing Gjorgji Strezoski Nanne van Noord M. Worring MoE 24 96 0 28 Mar 2019
Improving Referring Expression Grounding with Cross-modal Attention-guided Erasing Xihui Liu Zihao Wang Jing Shao Xiaogang Wang Hongsheng Li ObjD 19 180 0 03 Mar 2019