Towards End-to-End Image Compression and Analysis with Transformers

17 December 2021

Yaowei Wang

Papers citing "Towards End-to-End Image Compression and Analysis with Transformers"

34 / 34 papers shown

Title
ROI-Guided Point Cloud Geometry Compression Towards Human and Machine Vision Xie Liang Gao Wei Zhenghui Ming Li Ge 3DPC 68 1 0 19 Apr 2025
Image coding for machines: an end-to-end learned approach Nam Le Honglei Zhang Francesco Cricri Ramin Ghaznavi-Youvalari Esa Rahtu 16 91 0 23 Aug 2021
Early Convolutions Help Transformers See Better Tete Xiao Mannat Singh Eric Mintun Trevor Darrell Piotr Dollár Ross B. Girshick 34 761 0 28 Jun 2021
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection Yuxin Fang Bencheng Liao Xinggang Wang Jiemin Fang Jiyang Qi Rui Wu Jianwei Niu Wenyu Liu ViT 44 321 0 01 Jun 2021
Visformer: The Vision-friendly Transformer Zhengsu Chen Lingxi Xie Jianwei Niu Xuefeng Liu Longhui Wei Qi Tian ViT 144 216 0 26 Apr 2021
CvT: Introducing Convolutions to Vision Transformers Haiping Wu Bin Xiao Noel Codella Mengchen Liu Xiyang Dai Lu Yuan Lei Zhang ViT 105 1,891 0 29 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 286 21,051 0 25 Mar 2021
Incorporating Convolution Designs into Visual Transformers Kun Yuan Shaopeng Guo Ziwei Liu Aojun Zhou F. Yu Wei Wu ViT 80 472 0 22 Mar 2021
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers Sixiao Zheng Jiachen Lu Hengshuang Zhao Xiatian Zhu Zekun Luo ... Yanwei Fu Jianfeng Feng Tao Xiang Philip Torr Li Zhang ViT 109 2,872 0 31 Dec 2020
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 268 6,657 0 23 Dec 2020
Pre-Trained Image Processing Transformer Hanting Chen Yunhe Wang Tianyu Guo Chang Xu Yiping Deng Zhenhua Liu Siwei Ma Chunjing Xu Chao Xu Wen Gao VLM ViT 123 1,659 0 01 Dec 2020
Causal Contextual Prediction for Learned Image Compression Zongyu Guo Zhizheng Zhang Runsen Feng Zhibo Chen CML 40 140 0 19 Nov 2020
End-to-end optimized image compression for machines, a study Lahiru D. Chamain Fabien Racapé Jean Bégaint Akshay Pushparaja Simon Feltman 36 65 0 10 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 307 40,217 0 22 Oct 2020
The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study Xiyang Luo Hossein Talebi Feng Yang Michael Elad P. Milanfar 35 38 0 03 Aug 2020
Designing Network Design Spaces Ilija Radosavovic Raj Prateek Kosaraju Ross B. Girshick Kaiming He Piotr Dollár GNN 82 1,672 0 30 Mar 2020
Learning End-to-End Lossy Image Compression: A Benchmark Yueyu Hu Wenhan Yang Zhan Ma Jiaying Liu 66 161 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 104 188 0 10 Jan 2020
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks Haohan Wang Xindi Wu Pengcheng Yin Eric Xing 46 518 0 28 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 567 4,735 0 13 May 2019
Joint Autoregressive and Hierarchical Priors for Learned Image Compression David C. Minnen Johannes Ballé G. Toderici 37 1,268 0 08 Sep 2018
Towards Image Understanding from Deep Compression without Decoding Robert Torfason Fabian Mentzer E. Agustsson Michael Tschannen Radu Timofte Luc Van Gool AI4CE 54 153 0 16 Mar 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 231 9,687 0 25 Oct 2017
Random Erasing Data Augmentation Zhun Zhong Liang Zheng Guoliang Kang Shaozi Li Yi Yang 67 3,614 0 16 Aug 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 422 129,831 0 12 Jun 2017
Learning Convolutional Networks for Content-weighted Image Compression Mu Li W. Zuo Shuhang Gu Debin Zhao David C. Zhang 61 399 0 30 Mar 2017
Lossy Image Compression with Compressive Autoencoders Lucas Theis Wenzhe Shi Andrew Cunningham Ferenc Huszár 55 1,050 0 01 Mar 2017
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 73 1,697 0 01 Dec 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 235 10,412 0 21 Jul 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.3K 192,638 0 10 Dec 2015
Density Modeling of Images using a Generalized Normalization Transformation Johannes Ballé Valero Laparra Eero P. Simoncelli 36 386 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 44 670 0 19 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 678 149,474 0 22 Dec 2014
Asymmetric numeral systems J. Duda 82 129 0 02 Feb 2009