CONE: An efficient COarse-to-fiNE alignment framework for long video temporal grounding
This paper tackles an emerging and challenging problem of long video temporal grounding (VTG) that localizes video moments related to a natural language (NL) query. Compared with short videos, long videos are also highly demanded but less explored, which brings new challenges in higher inference com...
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2023
|
| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/8375 https://ink.library.smu.edu.sg/context/sis_research/article/9378/viewcontent/2023.acl_long.445.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Singapore Management University |
| Language: | English |