End-to-end Compression Towards Machine Vision: Network Architecture
Design and Optimization

End-to-end Compression Towards Machine Vision: Network Architecture Design and Optimization

1 July 2021

Shiqi Wang

Papers citing "End-to-end Compression Towards Machine Vision: Network Architecture Design and Optimization"

19 / 19 papers shown

Title
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research Jean Bégaint Fabien Racapé Simon Feltman Akshay Pushparaja VLM 56 423 0 05 Nov 2020
End-to-End Facial Deep Learning Feature Compression with Teacher-Student Enhancement Shurun Wang Wenhan Yang Shiqi Wang CVBM 54 7 0 10 Feb 2020
Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics Ling-yu Duan Jiaying Liu Wenhan Yang Tiejun Huang Wen Gao 132 190 0 10 Jan 2020
An Emerging Coding Paradigm VCM: A Scalable Coding Approach Beyond Feature and Signal Sifeng Xia Kunchangtai Liang Wenhan Yang Ling-yu Duan Jiaying Liu VGen 57 28 0 09 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 389 42,299 0 03 Dec 2019
Joint Autoregressive and Hierarchical Priors for Learned Image Compression David C. Minnen Johannes Ballé G. Toderici 67 1,269 0 08 Sep 2018
Pelee: A Real-Time Object Detection System on Mobile Devices R. Wang Xiang Li Charles X. Ling ObjD 56 454 0 18 Apr 2018
Towards Image Understanding from Deep Compression without Decoding Robert Torfason Fabian Mentzer E. Agustsson Michael Tschannen Radu Timofte Luc Van Gool AI4CE 62 153 0 16 Mar 2018
Compact Descriptors for Video Analysis: the Emerging MPEG Standard Ling-yu Duan V. Chandrasekhar Shiqi Wang Yihang Lou Jie Lin Yan Bai Tiejun Huang Alex C. Kot Wen Gao 51 83 0 26 Apr 2017
End-to-end Optimized Image Compression Johannes Ballé Valero Laparra Eero P. Simoncelli DRL 77 1,705 0 05 Nov 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,426 0 10 Dec 2015
Density Modeling of Images using a Generalized Normalization Transformation Johannes Ballé Valero Laparra Eero P. Simoncelli 41 388 0 19 Nov 2015
Variable Rate Image Compression with Recurrent Neural Networks G. Toderici Sean M. O'Malley S. Hwang Damien Vincent David C. Minnen S. Baluja Michele Covell Rahul Sukthankar 69 671 0 19 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 478 62,122 0 04 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 149,842 0 22 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 413 43,589 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.5K 100,213 0 04 Sep 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 381 43,524 0 01 May 2014
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 541 15,861 0 12 Nov 2013