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Learned Image Compression for Machine Perception

Learned Image Compression for Machine Perception

3 November 2021
Felipe Codevilla
Jean-Gabriel Simard
Ross Goroshin
C. Pal
ArXivPDFHTML

Papers citing "Learned Image Compression for Machine Perception"

16 / 16 papers shown
Title
Multiscale Feature Importance-based Bit Allocation for End-to-End Feature Coding for Machines
Multiscale Feature Importance-based Bit Allocation for End-to-End Feature Coding for Machines
Junle Liu
Yun Zhang
Zixi Guo
41
0
0
25 Mar 2025
Guided Diffusion for the Extension of Machine Vision to Human Visual Perception
Guided Diffusion for the Extension of Machine Vision to Human Visual Perception
Takahiro Shindo
Yui Tatsumi
Taiju Watanabe
Hiroshi Watanabe
DiffM
VLM
54
0
0
23 Mar 2025
Delta-ICM: Entropy Modeling with Delta Function for Learned Image
  Compression
Delta-ICM: Entropy Modeling with Delta Function for Learned Image Compression
Takahiro Shindo
Taiju Watanabe
Yui Tatsumi
Hiroshi Watanabe
23
1
0
10 Oct 2024
Image Compression for Machine and Human Vision with Spatial-Frequency
  Adaptation
Image Compression for Machine and Human Vision with Spatial-Frequency Adaptation
Han Li
Shaohui Li
Shuangrui Ding
Wenrui Dai
Maida Cao
Chenglin Li
Junni Zou
Hongkai Xiong
VLM
37
5
0
13 Jul 2024
Scalable Image Coding for Humans and Machines Using Feature Fusion
  Network
Scalable Image Coding for Humans and Machines Using Feature Fusion Network
Takahiro Shindo
Taiju Watanabe
Yui Tatsumi
Hiroshi Watanabe
21
5
0
15 May 2024
Image Coding for Machines with Edge Information Learning Using Segment
  Anything
Image Coding for Machines with Edge Information Learning Using Segment Anything
Takahiro Shindo
Kein Yamada
Taiju Watanabe
Hiroshi Watanabe
27
7
0
07 Mar 2024
Deep-Learned Compression for Radio-Frequency Signal Classification
Deep-Learned Compression for Radio-Frequency Signal Classification
Armani Rodriguez
Yagna Kaasaragadda
S. Kokalj-Filipovic
26
1
0
05 Mar 2024
Learned Image Compression with Text Quality Enhancement
Learned Image Compression with Text Quality Enhancement
Chih-Yu Lai
Dung N. Tran
K. Koishida
39
2
0
13 Feb 2024
Image Coding for Machines with Object Region Learning
Image Coding for Machines with Object Region Learning
Takahiro Shindo
Taiju Watanabe
Kein Yamada
Hiroshi Watanabe
28
7
0
27 Aug 2023
Machine Perception-Driven Image Compression: A Layered Generative
  Approach
Machine Perception-Driven Image Compression: A Layered Generative Approach
Yuefeng Zhang
Chuanmin Jia
Jian Chang
Siwei Ma
17
5
0
14 Apr 2023
Perceptual Video Coding for Machines via Satisfied Machine Ratio
  Modeling
Perceptual Video Coding for Machines via Satisfied Machine Ratio Modeling
Qi Zhang
Shanshe Wang
Xinfeng Zhang
Chuanmin Jia
Jingshan Pan
Siwei Ma
Wen Gao
21
3
0
13 Nov 2022
Image Coding for Machines with Omnipotent Feature Learning
Image Coding for Machines with Omnipotent Feature Learning
Ruoyu Feng
Xin Jin
Zongyu Guo
Runsen Feng
Yixin Gao
Tianyu He
Zhizheng Zhang
Simeng Sun
Zhibo Chen
VLM
29
36
0
05 Jul 2022
End-to-end Learning of Compressible Features
End-to-end Learning of Compressible Features
Saurabh Singh
Sami Abu-El-Haija
Nick Johnston
Johannes Ballé
Abhinav Shrivastava
G. Toderici
SSL
94
71
0
23 Jul 2020
Frustratingly Simple Few-Shot Object Detection
Frustratingly Simple Few-Shot Object Detection
Xin Wang
Thomas E. Huang
Trevor Darrell
Joseph E. Gonzalez
F. I. F. Richard Yu
ObjD
92
544
0
16 Mar 2020
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Xiaopeng Yan
Ziliang Chen
Anni Xu
Xiaoxi Wang
Xiaodan Liang
Liang Lin
ObjD
160
446
0
28 Sep 2019
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
195
5,175
0
16 Sep 2016
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