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Bag of Tricks for Image Classification with Convolutional Neural Networks

4 December 2018

Papers citing "Bag of Tricks for Image Classification with Convolutional Neural Networks"

35 / 35 papers shown

Title
Identifying Unknown Stochastic Dynamics via Finite expression methods Senwei Liang Chunmei Wang Xingjian Xu 76 0 0 09 Apr 2025
Decentralized Collective World Model for Emergent Communication and Coordination Kentaro Nomura Tatsuya Aoki Tadahiro Taniguchi Takato Horii 169 1 0 04 Apr 2025
Enhancing Layer Attention Efficiency through Pruning Redundant Retrievals Hanze Li Xiande Huang 124 0 0 09 Mar 2025
Increasing Both Batch Size and Learning Rate Accelerates Stochastic Gradient Descent Hikaru Umeda Hideaki Iiduka 129 2 0 17 Feb 2025
Exploring the Use of Contrastive Language-Image Pre-Training for Human Posture Classification: Insights from Yoga Pose Analysis Andrzej D. Dobrzycki Ana M. Bernardos Luca Bergesio Andrzej Pomirski Daniel Sáez-Trigueros 3DH 117 3 0 13 Jan 2025
SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation Yunxiang Fu Meng Lou Yizhou Yu 292 1 0 16 Dec 2024
RICAU-Net: Residual-block Inspired Coordinate Attention U-Net for Segmentation of Small and Sparse Calcium Lesions in Cardiac CT Doyoung Park Jinsoo Kim Qi Chang S. Leng Liang Zhong L. Baskaran 92 1 0 11 Sep 2024
Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation Rongguang Wang Pratik Chaudhari Christos Davatzikos OOD 101 52 0 23 Mar 2021
Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes Xianyan Jia Shutao Song W. He Yangzihao Wang Haidong Rong ... Li Yu Tiegang Chen Guangxiao Hu Shaoshuai Shi Xiaowen Chu 77 384 0 30 Jul 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 181 5,000 0 30 Jul 2018
Context Encoding for Semantic Segmentation Hang Zhang Kristin J. Dana Jianping Shi Zhongyue Zhang Xiaogang Wang A. Tyagi Amit Agrawal SSeg 97 1,251 0 23 Mar 2018
Don't Decay the Learning Rate, Increase the Batch Size Samuel L. Smith Pieter-Jan Kindermans Chris Ying Quoc V. Le ODL 101 996 0 01 Nov 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 282 9,797 0 25 Oct 2017
Mixed Precision Training Paulius Micikevicius Sharan Narang Jonah Alben G. Diamos Erich Elsen ... Boris Ginsburg Michael Houston Oleksii Kuchaiev Ganesh Venkatesh Hao Wu 168 1,804 0 10 Oct 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 427 26,539 0 05 Sep 2017
Large Batch Training of Convolutional Networks Yang You Igor Gitman Boris Ginsburg ODL 139 852 0 13 Aug 2017
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 183 5,605 0 21 Jul 2017
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam SSeg 232 8,481 0 17 Jun 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour Priya Goyal Piotr Dollár Ross B. Girshick P. Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He 3DH 128 3,685 0 08 Jun 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.2K 20,880 0 17 Apr 2017
Pyramid Scene Parsing Network Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia VOS SSeg 665 12,030 0 04 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 522 10,345 0 16 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 775 36,861 0 25 Aug 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 341 8,169 0 13 Aug 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 265 18,259 0 02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 741 37,886 0 20 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang 196 2,248 0 03 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,412 0 02 Dec 2015
Multi-Scale Context Aggregation by Dilated Convolutions Feng Yu V. Koltun SSeg 271 8,453 0 23 Nov 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 520 62,360 0 04 Jun 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 362 19,723 0 09 Mar 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,479 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,590 0 01 Sep 2014
Network In Network Min Lin Qiang Chen Shuicheng Yan 294 6,283 0 16 Dec 2013