Model Compression Methods for YOLOv5: A Review

21 July 2023

Papers citing "Model Compression Methods for YOLOv5: A Review"

24 / 24 papers shown

Title
YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications Chuyin Li Lu Li Hongliang Jiang Kaiheng Weng Yifei Geng ... Linyuan Zhou Xiaoming Xu Xiangxiang Chu Xiaoming Wei Xiaolin K. Wei ObjD 85 1,753 0 07 Sep 2022
YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss Debapriya Maji S. Nagori Manu Mathew Deepak Poddar 3DH 68 220 0 14 Apr 2022
Neural Network Quantization for Efficient Inference: A Survey Olivia Weng MQ 33 23 0 08 Dec 2021
Only Train Once: A One-Shot Neural Network Training And Pruning Framework Tianyi Chen Bo Ji Tianyu Ding Biyi Fang Guanyi Wang Zhihui Zhu Luming Liang Yixin Shi Sheng Yi Xiao Tu 47 103 0 15 Jul 2021
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks Itay Hubara Brian Chmiel Moshe Island Ron Banner S. Naor Daniel Soudry 73 115 0 16 Feb 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 238 703 0 31 Jan 2021
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding Xinming Zhang Ningning Ma Jungong Han Guiguang Ding Jian Sun 207 1,567 0 11 Jan 2021
Up or Down? Adaptive Rounding for Post-Training Quantization Markus Nagel Rana Ali Amjad M. V. Baalen Christos Louizos Tijmen Blankevoort MQ 34 563 0 22 Apr 2020
Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation Hao Wu Patrick Judd Xiaojie Zhang Mikhail Isaev Paulius Micikevicius MQ 53 349 0 20 Apr 2020
HRank: Filter Pruning using High-Rank Feature Map Mingbao Lin Rongrong Ji Yan Wang Yichen Zhang Baochang Zhang Yonghong Tian Ling Shao 52 719 0 24 Feb 2020
Channel Pruning via Automatic Structure Search Mingbao Lin Rongrong Ji Yuxin Zhang Baochang Zhang Yongjian Wu Yonghong Tian 86 242 0 23 Jan 2020
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 65 3,082 0 27 Nov 2019
EfficientDet: Scalable and Efficient Object Detection Mingxing Tan Ruoming Pang Quoc V. Le 67 4,996 0 20 Nov 2019
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks Yuhang Li Xin Dong Wei Wang MQ 48 255 0 28 Sep 2019
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates Ning Liu Xiaolong Ma Zhiyuan Xu Yanzhi Wang Jian Tang Jieping Ye 54 185 0 06 Jul 2019
Non-Structured DNN Weight Pruning -- Is It Beneficial in Any Platform? Xiaolong Ma Sheng Lin Shaokai Ye Zhezhi He Linfeng Zhang ... Deliang Fan Xuehai Qian Xinyu Lin Kaisheng Ma Yanzhi Wang MQ 53 92 0 03 Jul 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 256 6,685 0 06 May 2019
Single-shot Channel Pruning Based on Alternating Direction Method of Multipliers Chengcheng Li Zehao Wang Xiangyang Wang Hairong Qi 25 5 0 18 Feb 2019
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 128 4,957 0 30 Jul 2018
YOLOv3: An Incremental Improvement Joseph Redmon Ali Farhadi ObjD 83 21,306 0 08 Apr 2018
Learning Efficient Convolutional Networks through Network Slimming Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang 94 2,407 0 22 Aug 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 189 2,513 0 19 Jul 2017
R-FCN: Object Detection via Region-based Fully Convolutional Networks Jifeng Dai Yi Li Kaiming He Jian Sun ObjD 98 5,627 0 20 May 2016
Deeply-Supervised Nets Chen-Yu Lee Saining Xie Patrick W. Gallagher Zhengyou Zhang Zhuowen Tu 243 2,229 0 18 Sep 2014