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Adversarial Infrared Geometry: Utilising Geometric Properties for Efficient Attacks on Infrared Pedestrian Detectors

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Published in:IET Computer Vision
Format: Online Article RSS Article
Published: 2026
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container_title IET Computer Vision
description
discipline_display Image and Video Processing
discipline_facet Image and Video Processing
format Online Article
RSS Article
genre Journal Article
id rss_article:68111
institution FRELIP
journal_source_facet IET Computer Vision
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Adversarial Infrared Geometry: Utilising Geometric Properties for Efficient Attacks on Infrared Pedestrian Detectors
Image and Video Processing
General
Image and Video Processing
sub_discipline_display General
sub_discipline_facet General
subject_display Image and Video Processing
General
Image and Video Processing
Image and Video Processing
General
Image and Video Processing
subject_facet Image and Video Processing
General
Image and Video Processing
title Adversarial Infrared Geometry: Utilising Geometric Properties for Efficient Attacks on Infrared Pedestrian Detectors
title_auth Adversarial Infrared Geometry: Utilising Geometric Properties for Efficient Attacks on Infrared Pedestrian Detectors
title_full Adversarial Infrared Geometry: Utilising Geometric Properties for Efficient Attacks on Infrared Pedestrian Detectors
title_fullStr Adversarial Infrared Geometry: Utilising Geometric Properties for Efficient Attacks on Infrared Pedestrian Detectors
title_full_unstemmed Adversarial Infrared Geometry: Utilising Geometric Properties for Efficient Attacks on Infrared Pedestrian Detectors
title_short Adversarial Infrared Geometry: Utilising Geometric Properties for Efficient Attacks on Infrared Pedestrian Detectors
title_sort adversarial infrared geometry: utilising geometric properties for efficient attacks on infrared pedestrian detectors
topic Image and Video Processing
General
Image and Video Processing
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cvi2.70070?af=R