EgoPolice introduces a 185-hour annotated police body-worn camera benchmark showing state-of-the-art video models fail on high-stakes actions due to motion, occlusion, and low inter-class visual separability.
TMLR (2024)
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2years
2026 2representative citing papers
PriorEye augments end-to-end driving models with a dual-memory architecture that stores and gates geospatial visual priors to improve performance and robustness to sensor corruption on NAVSIM-v2.
citing papers explorer
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EgoPolice: A Benchmark for Egocentric Video Understanding in High-Stakes Police Body-Worn Camera Footage
EgoPolice introduces a 185-hour annotated police body-worn camera benchmark showing state-of-the-art video models fail on high-stakes actions due to motion, occlusion, and low inter-class visual separability.
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PriorEye: Geospatial Visual Priors for End-to-End Autonomous Driving
PriorEye augments end-to-end driving models with a dual-memory architecture that stores and gates geospatial visual priors to improve performance and robustness to sensor corruption on NAVSIM-v2.