A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple Distractors.
Nakyeong Yang|Minsung Kim|Seunghyun Yoon|Joongbo Shin|Kyomin Jung
| Anthology ID: | DBLP:conf/cikm/YangK0SJ24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2869-2878 |
| URL: | https://doi.org/10.1145/3627673.3679838 |
| DOI: | https://doi.org/10.1145/3627673.3679838 |
| DBLP: | conf/cikm/YangK0SJ24 |
| BibTeX: |
@inproceedings{yang-2024-new,
author = {Nakyeong Yang and
Minsung Kim and
Seunghyun Yoon and
Joongbo Shin and
Kyomin Jung},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple Distractors}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {2869--2878},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679838},
doi = {https://doi.org/10.1145/3627673.3679838}
}