1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2026
Multimodal OCR: Parse Anything from Documents
Handong Zheng, Yumeng Li, Kaile Zhang +22
We present Multimodal OCR (MOCR), a document parsing paradigm that jointly parses text and graphics into unified textual representations. Unlike conventional OCR systems that focus…
cs.CV2023
Hierarchical Side-Tuning for Vision Transformers
Weifeng Lin, Ziheng Wu, Wentao Yang +3
Fine-tuning pre-trained Vision Transformers (ViTs) has showcased significant promise in enhancing visual recognition tasks. Yet, the demand for individualized and comprehensive fin…
cs.CV2023★ 1 cited
DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion
Zhenzhen Chu, Jiayu Chen, Cen Chen +4
Self-attention-based vision transformers (ViTs) have emerged as a highly competitive architecture in computer vision. Unlike convolutional neural networks (CNNs), ViTs are capable…