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Analysis of the Effect of Low-Overhead Lossy Image Compression on the
  Performance of Visual Crowd Counting for Smart City Applications

Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications

20 July 2022
Arian Bakhtiarnia
Błażej Leporowski
Lukas Esterle
Alexandros Iosifidis
ArXivPDFHTML

Papers citing "Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications"

2 / 2 papers shown
Title
PromptMix: Text-to-image diffusion models enhance the performance of
  lightweight networks
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
VLM
DiffM
31
3
0
30 Jan 2023
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
17
1
0
15 Aug 2022
1