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cs.CV2024
Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents
Hao Wang, Tang Li, Chenhui Chu +3
Key-value relations are prevalent in Visually-Rich Documents (VRDs), often depicted in distinct spatial regions accompanied by specific color and font styles. These non-textual cue…
cs.CV2023
Vision-Enhanced Semantic Entity Recognition in Document Images via Visually-Asymmetric Consistency Learning
Hao Wang, Xiahua Chen, Rui Wang +1
Extracting meaningful entities belonging to predefined categories from Visually-rich Form-like Documents (VFDs) is a challenging task. Visual and layout features such as font, back…
cs.CV2022★ 1 cited
Learning More May Not Be Better: Knowledge Transferability in Vision and Language Tasks
Tianwei Chen, Noa Garcia, Mayu Otani +3
Is more data always better to train vision-and-language models? We study knowledge transferability in multi-modal tasks. The current tendency in machine learning is to assume that…