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Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trai..:
, In:
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
,
He, Jiabang
;
Hu, Yi
;
Wang, Lei
... - p. 569-579 , 2023
Link:
https://dl.acm.org/doi/10.1145/3539618.3591670
RT T1 <cTitle>Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval</cTitle>: T1 <Title>Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3591670&Exemplar=1&LAN=DE A1 He, Jiabang A1 Hu, Yi A1 Wang, Lei A1 Xu, Xing A1 Liu, Ning A1 Liu, Hui A1 Shen, Heng Tao PB ACM YR 2023 K1 document information extraction K1 out-of-distribution K1 pre-trained models K1 visual document understanding K1 Applied computing K1 Document management and text processing K1 Document capture K1 Document analysis K1 Information systems K1 Information retrieval K1 Document representation SP 569 OP 579 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3539618.3591670 DO https://dl.acm.org/doi/10.1145/3539618.3591670 SF ELIB - SuUB Bremen
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