Point Prompt Tuning for Temporally Language Grounding
Zeng YaWen · Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval · 2022
The task of temporally language grounding (TLG) aims to locate a video moment from an untrimmed video that match a given textual query, which has attracted considerable research attention. In recent years, typical retrieval-based TLG methods are inefficient due to pre-segmented candidate moments, while localization-based TLG solutions adopt reinforcement learning resulting in unstable convergence. Therefore, how to perform TLG task efficiently and stably is a non-trivial work.