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.
arXiv preprint arXiv:1911.06644 , year=
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
TemporalLens diagnoses temporal reliance in single-stage video detectors via controlled perturbations, while YOLO-3D shows temporal preservation yields +3.7 pp mAP@50 gains.
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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Temporal Preservation over Processing: Diagnosing and Designing Spatiotemporal Single-Stage Video Detectors
TemporalLens diagnoses temporal reliance in single-stage video detectors via controlled perturbations, while YOLO-3D shows temporal preservation yields +3.7 pp mAP@50 gains.