Stanford’s VideoAgent Achieves New SOTA of Long-Form Video Understanding via Agent-Based System | Synced
In a new paper VideoAgent: Long-form Video Understanding with Large Language Model as Agent, a Stanford University research team introduces VideoAgent, an innovative approach simulates human compre...
Source: Synced | AI Technology & Industry Review
In a new paper VideoAgent: Long-form Video Understanding with Large Language Model as Agent, a Stanford University research team introduces VideoAgent, an innovative approach simulates human comprehension of long-form videos through an agent-based system, showcasing superior effectiveness and efficiency compared to current state-of-the-art methods.