Finally, we compared Bisecle to frontier models like GPT-4o and Gemini 2.5. Note that we can only use APIs to test them. We show that these frontier LLMs still struggle with temporal reasoning and dealing with non-stationary, evolving video tasks. In some tasks, Bisecle show superior performance
arxiv.org
Bisecle: Binding and Separation in Continual Learning for Video Language Understanding
Frontier vision-language models (VLMs) have made remarkable improvements in video understanding tasks. However, real-world videos typically exist as continuously evolving data streams (e.g., dynamic s...
