Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery

16 May 2022

Papers citing "Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery"

5 / 5 papers shown

Title
Data Quality Matters: Quantifying Image Quality Impact on Machine Learning Performance Christian Steinhauser Philipp Reis Hubert Padusinski Jacob Langner Eric Sax 24 0 0 28 Mar 2025
JPEG Compliant Compression for Both Human and Machine, A Report Linfeng Ye 3DH AAML 47 0 0 13 Mar 2025
Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery Yona Falinie A. Gaus Neelanjan Bhowmik Brian K. S. Isaac-Medina T. Breckon VLM 19 2 0 18 Apr 2024
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results Benjamin Kiefer Matej Kristan Janez Pervs Lojze vZust Fabio Poiesi ... Chih-Chung Hsu X. Hou Yu-An Jhang Simon X. Yang Mau-Tsuen Yang 31 21 0 24 Nov 2022
On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures Matt Poyser Amir Atapour-Abarghouei T. Breckon 33 37 0 28 Jul 2020