2024
Goldfish: Vision-Language Understanding of Arbitrarily Long Videos
Kirolos Ataallah*, Xiaoqian shen, Eslam mohamed abdelrahman*, Essam Sleiman, Mingchen Zhuge, Jian Ding +3
ECCV 2024poster
"Most current LLM-based models for video understanding can process videos within minutes. However, they struggle with lengthy videos due to challenges such as “noise and redundancy”, as well as “memory and computation” constraints. In this paper, we present , a methodology tailored for comprehending…