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Analyzing and Mitigating JPEG Compression Defects in Deep Learning
v1v2 (latest)

Analyzing and Mitigating JPEG Compression Defects in Deep Learning

17 November 2020
Max Ehrlich
Larry S. Davis
Ser-Nam Lim
Abhinav Shrivastava
ArXiv (abs)PDFHTML

Papers citing "Analyzing and Mitigating JPEG Compression Defects in Deep Learning"

6 / 6 papers shown
Processing and acquisition traces in visual encoders: What does CLIP know about your camera?
Processing and acquisition traces in visual encoders: What does CLIP know about your camera?
Ryan Ramos
Vladan Stojnić
Giorgos Kordopatis-Zilos
Yuta Nakashima
Giorgos Tolias
Noa Garcia
226
3
0
14 Aug 2025
Gait Recognition from Highly Compressed Videos
Gait Recognition from Highly Compressed Videos
Andrei Niculae
Andy Catruna
Adrian Cosma
Daniel Rosner
I. Radoi
CVBM
183
1
0
18 Apr 2024
Leveraging the Edge and Cloud for V2X-Based Real-Time Object Detection
  in Autonomous Driving
Leveraging the Edge and Cloud for V2X-Based Real-Time Object Detection in Autonomous DrivingComputer Communications (Comput. Commun.), 2023
Faisal Hawlader
Franccois Robinet
R. Frank
147
30
0
09 Aug 2023
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training
Crowd Counting on Heavily Compressed Images with Curriculum Pre-TrainingIEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2022
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
275
1
0
15 Aug 2022
Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed
  Video Quality Enhancement
Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality EnhancementIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Max Ehrlich
Jon Barker
Namitha Padmanabhan
Larry S. Davis
Andrew Tao
Bryan Catanzaro
Abhinav Shrivastava
489
8
0
31 Jan 2022
CNNs for JPEGs: A Study in Computational Cost
CNNs for JPEGs: A Study in Computational Cost
Samuel Felipe dos Santos
Andrii Zadaianchuk
Jurandy Almeida
269
3
0
26 Dec 2020
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