Symbolic-driven agentic reasoning for environmental and behavioral event detection
Abstract Analyzing complex environmental and behavioral activities requires intelligent systems that not only perceive visual scenes but also reason about underlying events and interactions. Conventional computer vision models often operate at the object-detection level, limiting their ability to ge...
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| Autors principals: | , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer
2026-07-01
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| Col·lecció: | Visual Intelligence |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1007/s44267-026-00122-4 |
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