Viewpoint-conditioned feature selection improves thermal vehicle re-identification mAP by 19.7% on RGBNT100 and 12.8% on a new maritime dataset by adapting RGB ViT extractors.
EURASIP Journal on Image and Video Processing , volume=
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3representative citing papers
HARDAT applies HDBSCAN clustering with differential-rotation tracking and SVM-based polarity inversion line extraction to magnetograms, claiming superior sensitivity, accuracy and identity continuity over DBSCAN-based DSARD and NOAA catalogs.
citing papers explorer
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VC-FeS: Viewpoint-Conditioned Feature Selection for Vehicle Re-identification in Thermal Vision
Viewpoint-conditioned feature selection improves thermal vehicle re-identification mAP by 19.7% on RGBNT100 and 12.8% on a new maritime dataset by adapting RGB ViT extractors.
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An Improved HDBSCAN-based Detection and Tracking Method for Solar Active Regions in Magnetograms
HARDAT applies HDBSCAN clustering with differential-rotation tracking and SVM-based polarity inversion line extraction to magnetograms, claiming superior sensitivity, accuracy and identity continuity over DBSCAN-based DSARD and NOAA catalogs.
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