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On the Impact of Lossy Image and Video Compression on the Performance of
  Deep Convolutional Neural Network Architectures

On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures

28 July 2020
Matt Poyser
Amir Atapour-Abarghouei
T. Breckon
ArXivPDFHTML

Papers citing "On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures"

5 / 5 papers shown
Title
Impact of Video Compression on the Performance of Object Detection
  Systems for Surveillance Applications
Impact of Video Compression on the Performance of Object Detection Systems for Surveillance Applications
Michael O'Byrne
Anil Vibhoothi
M. Sugrue
Kokaram
13
4
0
10 Nov 2022
Does lossy image compression affect racial bias within face recognition?
Does lossy image compression affect racial bias within face recognition?
Seyma Yucer
Matt Poyser
Noura Al Moubayed
T. Breckon
CVBM
34
4
0
16 Aug 2022
Lost in Compression: the Impact of Lossy Image Compression on Variable
  Size Object Detection within Infrared Imagery
Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery
Neelanjan Bhowmik
Jack W. Barker
Yona Falinie A. Gaus
T. Breckon
39
14
0
16 May 2022
TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate
  Compression
TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate Compression
Nikolina Kubiak
Simon Hadfield
24
3
0
22 Sep 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,637
0
02 Nov 2015
1