Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models.

Jiabang He|Yi Hu|Lei Wang|Xing Xu|Ning Liu|Hui Liu|Heng Tao Shen


Anthology ID:DBLP:conf/sigir/HeHWXLLS23
Volume:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
Year:2023
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:569-579
URL:https://doi.org/10.1145/3539618.3591670
DOI:https://doi.org/10.1145/3539618.3591670
DBLP:conf/sigir/HeHWXLLS23
BibTeX:
@inproceedings{he-2023-dogood, author = {Jiabang He and Yi Hu and Lei Wang and Xing Xu and Ning Liu and Hui Liu and Heng Tao Shen}, editor = {Hsin-Hsi Chen and Wei-Jou (Edward) Duh and Hen-Hsen Huang and Makoto P. Kato and Josiane Mothe and Barbara Poblete}, title = {{Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models}}, booktitle = {{Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023}}, pages = {569--579}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3539618.3591670}, doi = {https://doi.org/10.1145/3539618.3591670} }