Channel Pruning for Accelerating Very Deep Neural Networks

He, Yihui, Zhang, Xiangyu, Sun, Jian·2017·2017 IEEE International Conference on Computer Vision (ICCV)

Cited by (1,002)

Items 801–900 of 1,002

  1. Multi-objective evolutionary architectural pruning of deep convolutional neural networks with weights inheritance
    K.T. Chung, C.K.M. Lee, Yung Po Tsang, Chong Hu Wu, Ali Asadipour · 2024 · Information Sciences
  2. DIR-BHRNet: A Lightweight Network for Real-Time Vision-Based Multiperson Pose Estimation on Smartphones
    Gongjin Lan, Yu Wu, Qi Hao · 2024 · IEEE Transactions on Industrial Informatics
  3. O3BNN
    Tong Geng, Tianqi Wang, Chunshu Wu, Chen Yang, Wei Wu, Ang Li, Martin Herbordt · 2019 · International Conference on Supercomputing
  4. Using Feature Entropy to Guide Filter Pruning for Efficient Convolutional Networks
    Yun Li, Luyang Wang, Sifan Peng, Aakash Kumar, Baoqun Yin · 2019 · Lecture notes in computer science
  5. TraNNsformer: Clustered Pruning on Crossbar-Based Architectures for Energy-Efficient Neural Networks
    Aayush Ankit, Timur Ibrayev, Abhronil Sengupta, Kaushik Roy · 2019 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  6. AMLN: Adversarial-Based Mutual Learning Network for Online Knowledge Distillation
    Xiaobing Zhang, Shijian Lu, Haigang Gong, Zhipeng Luo, Ming Liu · 2020 · Lecture notes in computer science
  7. Deep Transferring Quantization
    Zheng yu Xie, Zhiquan Wen, Jing Liu, Zhiqiang Liu, Xixian Wu, Mingkui Tan · 2020 · Lecture notes in computer science
  8. CoCoPIE
    Hui Guan, Shaoshan Liu, Xiaolong Ma, Wei Niu, Bin Ren, Xipeng Shen, Yanzhi Wang, Pu Zhao · 2021 · Communications of the ACM
  9. Toward Compact Transformers for End-to-End Object Detection With Decomposed Chain Tensor Structure
    Peining Zhen, Xiaotao Yan, Wei Wang, Tianshu Hou, Hao Wei, Hai‐Bao Chen · 2022 · IEEE Transactions on Circuits and Systems for Video Technology
  10. Data-Independent Neural Pruning via Coresets
    Ben Mussay, Margarita Osadchy, Vladimir Braverman, Samson Zhou, Dan Feldman · 2019 · arXiv (Cornell University)
  11. Effective Model Sparsification by Scheduled Grow-and-Prune Methods
    Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Tian Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie · 2021 · arXiv (Cornell University)
  12. ReDas: A Lightweight Architecture for Supporting Fine-Grained Reshaping and Multiple Dataflows on Systolic Array
    Meng Han, L Wang, Limin Xiao, Tianhao Cai, Zeyu Wang, Xiangrong Xu, Chenhao Zhang · 2024 · IEEE Transactions on Computers
  13. TinyML and edge intelligence applications in cardiovascular disease: A survey
    Ali Reza Keivanimehr, Mohammad Akbari · 2025 · Computers in Biology and Medicine
  14. Compact deep neural network models of the visual cortex
    Benjamin R. Cowley, Patricia L. Stan, Jonathan W. Pillow, Matthew A. Smith · 2026 · Nature
  15. Ternary MobileNets via Per-Layer Hybrid Filter Banks
    Dibakar Gope, Jesse G. Beu, Urmish Thakker, Matthew Mattina · 2020 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  16. Interpret Neural Networks by Extracting Critical Subnetworks
    Yulong Wang, Hang Su, Bo Zhang, Xiaolin Hu · 2020 · IEEE Transactions on Image Processing
  17. Hardware-Centric AutoML for Mixed-Precision Quantization
    Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han · 2020 · International Journal of Computer Vision
  18. To Bridge Neural Network Design and Real-World Performance: A Behaviour Study for Neural Networks
    Xiaohu Tang, Shihao Han, Li Lyna Zhang, Ting Cao, Yunxin Liu · 2021 · Proceedings of Machine Learning and Systems
  19. Yolov3-Pruning(transfer): real-time object detection algorithm based on transfer learning
    Xiaoning Li, Zhengzhong Wang, Shichao Geng, Lin Wang, Huaxiang Zhang, Li Liu, Donghua Li · 2022 · Journal of Real-Time Image Processing
  20. Artificial intelligence in physiological characteristics recognition for internet of things authentication
    Zhimin Zhang, Huansheng Ning, Fadi Farha, Jianguo Ding, Kim‐Kwang Raymond Choo · 2022 · Digital Communications and Networks
  21. Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads
    Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane · 2023 · IEEE/ACM International Symposium on Microarchitecture (MICRO)
  22. Real-Time Object Detection and Tracking for Unmanned Aerial Vehicles Based on Convolutional Neural Networks
    Shao‐Yu Yang, Hsu-Yung Cheng, Chih-Chang Yu · 2023 · Electronics
  23. Developmental Plasticity-Inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks
    Bing Han, Feifei Zhao, Yi Zeng, Guobin Shen · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  24. Visual Tracking by Structurally Optimizing Pre-Trained CNN
    Chang Liu, Peng Liu, Wei Zhao, Xianglong Tang · 2019 · IEEE Transactions on Circuits and Systems for Video Technology
  25. Evolutionary NetArchitecture Search for Deep Neural Networks Pruning
    Shuxin Chen, Lin Lin, Zixun Zhang, Mitsuo Gen · 2019 · International Conference on Algorithms, Computing and Artificial Intelligence (ACAI)
  26. A Compressed and Accelerated SegNet for Plant Leaf Disease Segmentation: A Differential Evolution Based Approach
    Mohit Agarwal, Suneet Kr. Gupta, Kanad K. Biswas · 2021 · Lecture notes in computer science
  27. Continual 3D Convolutional Neural Networks for Real-time Processing of Videos
    Lukas Hedegaard, Alexandros Iosifidis · 2022 · Lecture notes in computer science
  28. A Dual Rank-Constrained Filter Pruning Approach for Convolutional Neural Networks
    Fugui Fan, Yuting Su, Peiguang Jing, Wei Da Lu · 2021 · IEEE Signal Processing Letters
  29. Towards Compact 1-bit CNNs via Bayesian Learning
    Junhe Zhao, Sheng Hua Xu, Baochang Zhang, Jiaxin Gu, David Doermann, Guodong Guo · 2021 · International Journal of Computer Vision
  30. DNN pruning with principal component analysis and connection importance estimation
    Marc Riera, José-María Arnau, Antonio M. González · 2021 · Journal of Systems Architecture
  31. Compression and acceleration of convolution neural network: a Genetic Algorithm based approach
    Mohit Agarwal, Suneet Kr. Gupta, Mainak Biswas, Deepak Garg · 2022 · Journal of Ambient Intelligence and Humanized Computing
  32. Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free
    Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  33. From Data to Knowledge
    Ziqian Chen, Shiqi Wang, Dapeng Oliver Wu, Tiejun Huang, Ling‐Yu Duan · 2018 · ACM International Conference on Multimedia (ACM MM)
  34. Efficient Semantic Segmentation for Visual Bird’s-Eye View Interpretation
    Timo Sämann, Karl Amende, Stefan Milz, Christian Witt, Martín Simón, Johannes Petzold · 2018 · Advances in intelligent systems and computing
  35. Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks
    Jaedeok Kim, Chiyoun Park, Hyun‐Joo Jung, Yoonsuck Choe · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
  36. Bayesian Automatic Model Compression
    Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Jian Cheng · 2020 · IEEE Journal of Selected Topics in Signal Processing
  37. RUFP: Reinitializing unimportant filters for soft pruning
    Ke Zhang, Guangzhe Liu, Meibo Lv · 2022 · Neurocomputing
  38. Model Compression with Multi-Task Knowledge Distillation for Web-scale Question Answering System
    Ze Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang · 2019 · arXiv (Cornell University)
  39. Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness
    Adnan Siraj Rakin, Zhezhi He, Yang Li, Yanzhi Wang, Liqiang Wang, Deliang Fan · 2019 · arXiv (Cornell University)
  40. Channel Equilibrium Networks for Learning Deep Representation
    Wenqi Shao, Shitao Tang, Xingang Pan, Ping Tan, Xiaogang Wang, Ping Luo · 2020 · arXiv (Cornell University)
  41. A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness
    James Diffenderfer, Brian R. Bartoldson, Shreya Chaganti, Jize Zhang, Bhavya Kailkhura · 2021 · arXiv (Cornell University)
  42. Improving single-stage object detectors for nighttime pedestrian detection
    Devi, S, Thopalli, Kowshik, Malarvezhi, P, Thiagarajan, Jayaraman J. · 2022 · International Journal of Pattern Recognition and Artificial Intelligence
  43. Hierarchical Region-Context Attention for image captioning
    Mohammad Alamgir Hossain, Zhongfu Ye, Md. Bipul Hossen, Md. Mahmudur Rahman, Md Shohidul Islam, Md.Ibrahim Abdullah · 2026 · Engineering Applications of Artificial Intelligence
  44. Deep neural networks with a set of node-wise varying activation functions
    Jinhyeok Jang, Hyunjoong Cho, Jaehong Kim, Jaeyeon Lee, Seungjoon Yang · 2020 · Neural Networks
  45. ThumbNet: One Thumbnail Image Contains All You Need for Recognition
    Chen Zhao, Bernard Ghanem · 2020 · ACM International Conference on Multimedia (ACM MM)
  46. Discrete cosine transform for filter pruning
    Yaosen Chen, Renshuang Zhou, Bing Guo, Yan Shen, Wei Wang, Xuming Wen, Xinhua Suo · 2022 · Applied Intelligence
  47. Uncertainty-Driven Knowledge Distillation for Language Model Compression
    Tianyu Huang, Weisheng Dong, Fangfang Wu, Xin Li, Guangming Shi · 2023 · IEEE/ACM Transactions on Audio Speech and Language Processing
  48. HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks
    Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
  49. Post-Distillation via Neural Resuscitation
    Zhiqiang Bao, Zihao Chen, Chang‐Dong Wang, Wei‐Shi Zheng, Zhenhua Huang, Yunwen Chen · 2023 · IEEE Transactions on Multimedia
  50. FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization
    Qianyu Long, Christos Anagnostopoulos, S. Parambath, Da-Ning Bi · 2023 · Industrial Conference on Data Mining
  51. Teacher–student complementary sample contrastive distillation
    Zhiqiang Bao, Zhenhua Huang, Jianping Gou, Lan Du, Kang Liu, Jingtao Zhou, Yunwen Chen · 2023 · Neural Networks
  52. Towards Better Structured Pruning Saliency by Reorganizing Convolution
    Xinglong Sun, Humphrey Shi · 2024 · IEEE Winter Conference on Applications of Computer Vision
  53. LPViT: Low-Power Semi-structured Pruning for Vision Transformers
    Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin · 2024 · Lecture notes in computer science
  54. A transformer based visual tracker with restricted token interaction and knowledge distillation
    Nian Liu, Yi Zhang · 2024 · Knowledge-Based Systems
  55. Selective Deep Convolutional Neural Network for Low Cost Distorted Image Classification
    Minho Ha, Younghoon Byun, Jeonghun Kim, Jaecheol Lee, Youngjoo Lee, Sunggu Lee · 2019 · IEEE Access
  56. Adaptive Iterative Pruning for Accelerating Deep Neural Networks
    Yuri G. Gordienko, Yuriy Kochura, Vlad Taran, Nikita Gordienko, Andrii Bugaiov, Sergii Stirenko · 2019 · IEEE International Conference on Electronics and Information Technologies (ELIT)
  57. Reuse Kernels or Activations?
    Yue Niu, Rajgopal Kannan, Ajitesh Srivastava, Viktor K. Prasanna · 2020 · ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA)
  58. MINT: Deep Network Compression via Mutual Information-based Neuron Trimming
    Madan Ravi Ganesh, Jason J. Corso, Salimeh Yasaei Sekeh · 2021 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
  59. Acceleration of multi‐task cascaded convolutional networks
    Longhua Ma, Hang‐Yu Fan, Zhe‐Ming Lu, Dong Tian · 2020 · IET Image Processing
  60. ReSprop: Reuse Sparsified Backpropagation
    Negar Goli, Tor M. Aamodt · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  61. An Accurate and Efficient 1-D Barcode Detector for Medium of Deployment in IoT Systems
    Adnan Sharif, Guangtao Zhai, Jun Jia, Xiongkuo Min, Xiangyang Zhu, Jiahe Zhang · 2020 · IEEE Internet of Things Journal
  62. Dynamic Object Tracking for Self-Driving Cars Using Monocular Camera and LIDAR
    Lin Zhao, Meiling Wang, Sheng Su, Tong Liu, Yi Min Yang · 2020 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  63. Survey on Comparative Study of Pruning Mechanism on MobileNetV3 Model
    Shiva V Naik, Sneha K Majjigudda, Soujanya Naik, Suraj M Dandin, Uday Kulkarni, S. M. Meena, Sunil V. Gurlahosur, Pratiksha Benagi · 2021 · International Conference on Intelligent Technologies (CONIT)
  64. Weak sub-network pruning for strong and efficient neural networks
    Qingbei Guo, Xiao‐Jun Wu, Josef Kittler, Zhiquan Feng · 2021 · Neural Networks
  65. Online knowledge distillation with elastic peer
    Chao Tan, Jie Liu · 2021 · Information Sciences
  66. Network pruning via probing the importance of filters
    Jiandong Kuang, Mingwen Shao, Ran Wang, Wangmeng Zuo, Weiping Ding · 2022 · International Journal of Machine Learning and Cybernetics
  67. AACP: Model Compression by Accurate and Automatic Channel Pruning
    Lanbo Lin, Shengjie Chen, Yujiu Yang, Zhenhua Guo · 2022 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
  68. Sparse Channel Pruning and Assistant Distillation for Faster Aerial Object Detection
    Chenwei Deng, Donglin Jing, Zhihan Ding, Yuqi Han · 2022 · Remote Sensing
  69. Soft Masking for Cost-Constrained Channel Pruning
    Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, José Manuel Álvarez · 2022 · Lecture notes in computer science
  70. Probing the Efficacy of Hardware-Aware Weight Pruning to Optimize the SpMM Routine on Ampere GPUs
    Roberto Castro, Diego Andrade, Basilio B. Fraguela · 2022 · International Conference on Parallel Architectures and Compilation Techniques (PACT)
  71. Efficient Deep Learning Inference Based on Model Compression
    Qing Zhang, Mengru Zhang, Mengdi Wang, Wanchen Sui, Chen Meng, Jun Yang, Weidan Kong, Xiaoyuan Cui, Wei Lin · 2018 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  72. Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets
    Thu Dinh, Bao Wang, Andrea Louise Bertozzi, Stanley Osher, Jack Xin · 2020 · Lecture notes in computer science
  73. Rectified Binary Convolutional Networks with Generative Adversarial Learning
    Chunlei Liu, Wenrui Ding, Yuan Chun Hu, Baochang Zhang, Jianzhuang Liu, Guodong Guo, David Doermann · 2021 · International Journal of Computer Vision
  74. Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks
    Andrey Kuzmin, Markus Nagel, Saurabh Pitre, Sandeep Pendyam, Tijmen Blankevoort, Max Welling · 2019 · arXiv (Cornell University)
  75. Modeling of Pruning Techniques for Deep Neural Networks Simplification
    Morteza Mousa Pasandi, Mohsen Hajabdollahi, Nader Karimi, Shadrokh Samavi · 2020 · arXiv (Cornell University)
  76. ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery
    Dawid Rymarczyk, Łukasz Struski, Jacek Tabor, Bartosz Zieliński · 2020 · arXiv (Cornell University)
  77. GNN is a Counter? Revisiting GNN for Question Answering
    Kuan Wang, Yuyu Zhang, Diyi Yang, Le Song, Tao Qin · 2021 · arXiv (Cornell University)
  78. ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers
    Husheng Han, Kaidi Xu, Xing Hu, Xiaobing Chen, Liang, Ling, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen · 2021 · arXiv (Cornell University)
  79. Acceleration-Aware Fine-Grained Channel Pruning for Deep Neural Networks via Residual Gating
    Kai Huang, Siang Chen, Bowen Li, Luc Claesen, Hao Yao, Junjian Chen, Xiaowen Jiang, Zhili Liu, Dongliang Xiong · 2021 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  80. RFPruning: A retraining-free pruning method for accelerating convolutional neural networks
    Zhenyu Wang, Xuemei Xie, Guangming Shi · 2021 · Applied Soft Computing
  81. Improvement of Efficiency in Evolutionary Pruning
    Yidan Zhang, Youheng Zhen, Zhenan He, Gray G. Yen · 2021 · International Joint Conference on Neural Networks (IJCNN)
  82. Neural network relief: a pruning algorithm based on neural activity
    Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel Aníbal Bessa · 2024 · Machine Learning
  83. Sparsity-control ternary weight networks
    Xiang Deng, Zhongfei Mark Zhang · 2021 · Neural Networks
  84. Automated deep learning-based wide-band receiver
    Bahar Azari, Hai Cheng, Nasim Soltani, Haoqing Li, Yanyu Li, Mauro Belgiovine, Tales Imbiriba, Salvatore D’Oro, Tommaso Melodia, Yanzhi Wang et al. · 2022 · Computer Networks
  85. TinyML for UWB-radar based presence detection
    Massimo Pavan, Armando Caltabiano, Manuel Roveri · 2022 · International Joint Conference on Neural Networks (IJCNN)
  86. Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network
    Byung‐Kwan Lee, Junho Kim, Yong Man Ro · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  87. Conditional pseudo-supervised contrast for data-Free knowledge distillation
    Renrong Shao, Wei Zhang, Jun Wang · 2023 · Pattern Recognition
  88. Multiobject Real-Time Automatic Detection Method for Production Quality Control of Prefabricated Laminated Slabs
    Qingze Li, Yang Yang, Gang Yao, Fujia Wei, Guangdi Xue, Haiyang Qin · 2023 · Journal of Construction Engineering and Management
  89. Activation-Based Pruning of Neural Networks
    Tushar Ganguli, Edwin K. P. Chong · 2024 · Algorithms
  90. Joint filter and channel pruning of convolutional neural networks as a bi-level optimization problem
    Hassen Louati, Ali Louati, Slim Bechikh, Elham Kariri · 2024 · Memetic Computing
  91. ODDS: Real-Time Object Detection Using Depth Sensors on Embedded GPUs
    Niluthpol Chowdhury Mithun, Sirajum Munir, Karen Guo, Charles Shelton · 2018 · ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)
  92. CSCC: Convolution Split Compression Calculation Algorithm for Deep Neural Network
    Shengyu Fan, Hui Yu, Dianjie Lu, Shuai Jiao, Weizhi Xu, Fangai Liu, Zhiyong Liu · 2019 · IEEE Access
  93. Cogradient Descent for Bilinear Optimization
    Li’an Zhuo, Baochang Zhang, Linlin Yang, Hanlin Chen, Qixiang Ye, David Doermann, Rongrong Ji, Guodong Guo · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  94. Exploiting prunability for person re-identification
    Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Éric Granger · 2021 · EURASIP Journal on Image and Video Processing
  95. Safety Belt Wearing Detection Algorithm Based on Human Joint Points
    Yi Qiao, Qu Yi · 2021 · International Conference on Consumer Electronics and Computer Engineering (ICCECE)
  96. Data-Independent Structured Pruning of Neural Networks via Coresets
    Ben Mussay, Dan Feldman, Samson Zhou, Vladimir Braverman, Margarita Osadchy · 2021 · IEEE Transactions on Neural Networks and Learning Systems
  97. On the Application of Binary Neural Networks in Oblivious Inference
    Mohammad Samragh, Siam U. Hussain, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar · 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  98. Evolutionary Multi-Objective One-Shot Filter Pruning for Designing Lightweight Convolutional Neural Network
    Tao Wu, Jiao Shi, Deyun Zhou, Xiaolong Zheng, Na Li · 2021 · Sensors
  99. Adding Before Pruning: Sparse Filter Fusion for Deep Convolutional Neural Networks via Auxiliary Attention
    Guanzhong Tian, Yiran Sun, Yuang Liu, Xianfang Zeng, Mengmeng Wang, Yong Liu, Jiangning Zhang, Jun Chen · 2021 · IEEE Transactions on Neural Networks and Learning Systems
  100. MAM: A multipath attention mechanism for image recognition
    Hao Zhang, Guoqin Peng, Zhichao Wu, Jian Gong, Dan Xu, Hongzhen Shi · 2021 · IET Image Processing