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End-to-End Learnable Multi-Scale Feature Compression for VCM

End-to-End Learnable Multi-Scale Feature Compression for VCM

29 June 2023
Yeong-Gwan Kim
Hyewon Jeong
Janghyun Yu
Younhee Kim
Jooyoung Lee
S. Jeong
Hui-Yong Kim
ArXivPDFHTML

Papers citing "End-to-End Learnable Multi-Scale Feature Compression for VCM"

4 / 4 papers shown
Title
DMOFC: Discrimination Metric-Optimized Feature Compression
DMOFC: Discrimination Metric-Optimized Feature Compression
Changsheng Gao
Yiheng Jiang
Li Li
Dong Liu
Feng Wu
20
4
0
07 May 2024
Transformer-based Image Compression
Transformer-based Image Compression
Ming Lu
Peiyao Guo
Huiqing Shi
Chuntong Cao
Zhan Ma
ViT
64
104
0
12 Nov 2021
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
309
10,233
0
16 Nov 2016
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
234
5,180
0
16 Sep 2016
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