7 citations · 26 across the 16 of their papers we have counts for
12 papers · 1 filter
TaCo: Textual Attribute Recognition via Contrastive Learning
Chang Nie, Yiqing Hu, Yanqiu Qu +3
As textual attributes like font are core design elements of document format and page style, automatic attributes recognition favor comprehensive practical applications. Existing ap…
GMN: Generative Multi-modal Network for Practical Document Information Extraction
Haoyu Cao, Jiefeng Ma, Antai Guo +5
Document Information Extraction (DIE) has attracted increasing attention due to its various advanced applications in the real world. Although recent literature has already achieved…
OS-MSL: One Stage Multimodal Sequential Link Framework for Scene Segmentation and Classification
Ye Liu, Lingfeng Qiao, Di Yin +4
Scene segmentation and classification (SSC) serve as a critical step towards the field of video structuring analysis. Intuitively, jointly learning of these two tasks can promote e…
Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer
Sunan He, Taian Guo, Tao Dai +3
Real-world recognition system often encounters the challenge of unseen labels. To identify such unseen labels, multi-label zero-shot learning (ML-ZSL) focuses on transferring knowl…
RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction
Yuan Liang, Zhuoxuan Jiang, Di Yin +1
In document-level event extraction (DEE) task, event arguments always scatter across sentences (across-sentence issue) and multiple events may lie in one document (multi-event issu…
Contrastive Graph Multimodal Model for Text Classification in Videos
Ye Liu, Changchong Lu, Chen Lin +2
The extraction of text information in videos serves as a critical step towards semantic understanding of videos. It usually involved in two steps: (1) text recognition and (2) text…