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VRU-Accident: A Vision-Language Benchmark for Video Question Answering and Dense Captioning for Accident Scene Understanding

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Kim, Younggun, Abdelrahman, Ahmed S., Abdel-Aty, Mohamed
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
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