Accelerating Very Deep Convolutional Networks for Classification and Detection

26 May 2015

Papers citing "Accelerating Very Deep Convolutional Networks for Classification and Detection"

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Title
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models Nastaran Saadati Minh Pham Nasla Saleem Joshua R. Waite Aditya Balu Zhanhong Jiang Chinmay Hegde Soumik Sarkar MoMe 47 1 0 11 Apr 2024
GPTVQ: The Blessing of Dimensionality for LLM Quantization M. V. Baalen Andrey Kuzmin Markus Nagel Peter Couperus Cédric Bastoul E. Mahurin Tijmen Blankevoort Paul N. Whatmough MQ 36 28 0 23 Feb 2024
CSTAR: Towards Compact and STructured Deep Neural Networks with Adversarial Robustness Huy Phan Miao Yin Yang Sui Bo Yuan S. Zonouz AAML GNN 32 8 0 04 Dec 2022
Pruning Very Deep Neural Network Channels for Efficient Inference Yihui He 35 1 0 14 Nov 2022
Approximating Continuous Convolutions for Deep Network Compression Theo W. Costain V. Prisacariu 36 0 0 17 Oct 2022
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN Huy Phan Cong Shi Yi Xie Tian-Di Zhang Zhuohang Li Tianming Zhao Jian-Dong Liu Yan Wang Ying-Cong Chen Bo Yuan AAML 35 6 0 22 Aug 2022
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search Zhewen Yu C. Bouganis 37 4 0 22 Aug 2022
Entropy Induced Pruning Framework for Convolutional Neural Networks Yihe Lu Ziyu Guan Yaming Yang Maoguo Gong Wei Zhao Kaiyuan Feng 38 2 0 13 Aug 2022
Compression-aware Training of Neural Networks using Frank-Wolfe Max Zimmer Christoph Spiegel Sebastian Pokutta 31 9 0 24 May 2022
Revisiting Random Channel Pruning for Neural Network Compression Yawei Li Kamil Adamczewski Wen Li Shuhang Gu Radu Timofte Luc Van Gool 32 84 0 11 May 2022
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results Yawei Li Peng Sun Radu Timofte Luc Van Gool F. Kong ... Deng-Guang Zhou Kun Zeng Han-Yuan Lin Xinyu Chen Jin-Tao Fang SupR 44 77 0 11 May 2022
Compact Model Training by Low-Rank Projection with Energy Transfer K. Guo Zhenquan Lin Xiaofen Xing Fang Liu Xiangmin Xu 35 2 0 12 Apr 2022
Towards On-Device AI and Blockchain for 6G enabled Agricultural Supply-chain Management Muhammad Zawish Nouman Ashraf R. I. Ansari Steven Davy Hassaan Khaliq Qureshi N. Aslam S. Hassan 11 12 0 12 Mar 2022
Data-Efficient Structured Pruning via Submodular Optimization Marwa El Halabi Suraj Srinivas Simon Lacoste-Julien 20 18 0 09 Mar 2022
ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization Menelaos Kanakis S. Maurer Matteo Spallanzani Ajad Chhatkuli Luc Van Gool 3DPC 32 13 0 07 Mar 2022
DistrEdge: Speeding up Convolutional Neural Network Inference on Distributed Edge Devices Xueyu Hou Yongjie Guan Tao Han Ning Zhang 24 41 0 03 Feb 2022
Learning Robust and Lightweight Model through Separable Structured Transformations Xian Wei Yanhui Huang Yang Xu Mingsong Chen Hai Lan Yuanxiang Li Zhongfeng Wang Xuan Tang OOD 24 0 0 27 Dec 2021
Gabor filter incorporated CNN for compression Akihiro Imamura N. Arizumi CVBM 28 2 0 29 Oct 2021
The Efficiency Misnomer Daoyuan Chen Liuyi Yao Dawei Gao Ashish Vaswani Yaliang Li 39 99 0 25 Oct 2021
Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation A. Tavera Fabio Cermelli Carlo Masone Barbara Caputo 29 19 0 22 Oct 2021
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization Weihan Chen Peisong Wang Jian Cheng MQ 44 62 0 13 Oct 2021
Semi-tensor Product-based TensorDecomposition for Neural Network Compression Hengling Zhao Yipeng Liu Xiaolin Huang Ce Zhu 47 6 0 30 Sep 2021
Double Similarity Distillation for Semantic Image Segmentation Yingchao Feng Xian Sun Wenhui Diao Jihao Li Xin Gao 24 62 0 19 Jul 2021
A Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic Accidents Muhammad Monjurul Karim Yu Li Ruwen Qin Zhaozheng Yin 27 55 0 18 Jun 2021
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization Huanrui Yang Lin Duan Yiran Chen Hai Helen Li MQ 21 64 0 20 Feb 2021
Towards Accurate and Compact Architectures via Neural Architecture Transformer Yong Guo Yin Zheng Mingkui Tan Qi Chen Zhipeng Li Jian Chen P. Zhao Junzhou Huang ViT MQ 16 38 0 20 Feb 2021
Block-term Tensor Neural Networks Jinmian Ye Guangxi Li Di Chen Haiqin Yang Shandian Zhe Zenglin Xu 24 30 0 10 Oct 2020
Self-grouping Convolutional Neural Networks Qingbei Guo Xiaojun Wu J. Kittler Zhiquan Feng 25 22 0 29 Sep 2020
Into the Unknown: Active Monitoring of Neural Networks Anna Lukina Christian Schilling T. Henzinger AAML 8 27 0 14 Sep 2020
CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics Guan Li Junpeng Wang Han-Wei Shen Kaixin Chen Guihua Shan Zhonghua Lu AAML 31 47 0 08 Sep 2020
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network Anh-Huy Phan Konstantin Sobolev Konstantin Sozykin Dmitry Ermilov Julia Gusak P. Tichavský Valeriy Glukhov Ivan Oseledets A. Cichocki BDL 27 128 0 12 Aug 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference Menelaos Kanakis David Brüggemann Suman Saha Stamatios Georgoulis Anton Obukhov Luc Van Gool CLL 30 72 0 24 Jul 2020
T-Basis: a Compact Representation for Neural Networks Anton Obukhov M. Rakhuba Stamatios Georgoulis Menelaos Kanakis Dengxin Dai Luc Van Gool 39 27 0 13 Jul 2020
NTIRE 2020 Challenge on Image and Video Deblurring Seungjun Nah Sanghyun Son Radu Timofte Kyoung Mu Lee 67 32 0 04 May 2020
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification Huanrui Yang Minxue Tang W. Wen Feng Yan Daniel Hu Ang Li H. Li Yiran Chen 36 63 0 20 Apr 2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression Yawei Li Shuhang Gu Christoph Mayer Luc Van Gool Radu Timofte 139 189 0 19 Mar 2020
Giving Commands to a Self-driving Car: A Multimodal Reasoner for Visual Grounding Thierry Deruyttere Guillem Collell Marie-Francine Moens LRM 19 8 0 19 Mar 2020
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming Madan Ravi Ganesh Jason J. Corso Salimeh Yasaei Sekeh MQ 43 15 0 18 Mar 2020
Learned Threshold Pruning K. Azarian Yash Bhalgat Jinwon Lee Tijmen Blankevoort MQ 28 38 0 28 Feb 2020
Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread Haofeng Li Guanbin Li Binbin Yang Guanqi Chen Liang Lin Yizhou Yu ObjD 46 28 0 22 Jan 2020
Discrimination-aware Network Pruning for Deep Model Compression Jing Liu Bohan Zhuang Zhuangwei Zhuang Yong Guo Junzhou Huang Jin-Hui Zhu Mingkui Tan CVBM 19 119 0 04 Jan 2020
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks A. Yaguchi Taiji Suzuki Shuhei Nitta Y. Sakata A. Tanizawa 19 9 0 29 Oct 2019
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks Yihui He Jianing Qian Jianren Wang Cindy X. Le Congrui Hetang Qi Lyu Wenping Wang Tianwei Yue 48 11 0 21 Oct 2019
DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement Qing Yang Jiachen Mao Zuoguan Wang H. Li 21 15 0 13 Sep 2019
Learning Filter Basis for Convolutional Neural Network Compression Yawei Li Shuhang Gu Luc Van Gool Radu Timofte SupR 17 5 0 23 Aug 2019
Deep Sparse Band Selection for Hyperspectral Face Recognition Fariborz Taherkhani J. Dawson Nasser M. Nasrabadi CVBM 20 11 0 15 Aug 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations Bohan Zhuang Jing Liu Mingkui Tan Lingqiao Liu Ian Reid Chunhua Shen MQ 29 45 0 10 Aug 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data Yehui Tang Shan You Chang Xu Boxin Shi Chao Xu 24 11 0 13 Jul 2019
Data-Free Quantization Through Weight Equalization and Bias Correction Markus Nagel M. V. Baalen Tijmen Blankevoort Max Welling MQ 19 501 0 11 Jun 2019
Object Detection in 20 Years: A Survey Zhengxia Zou Keyan Chen Zhenwei Shi Yuhong Guo Jieping Ye VLM ObjD AI4TS 32 2,288 0 13 May 2019