125 citations · 147 across the 15 of their papers we have counts for
4 papers · 1 filter
Exploring the Capabilities of Large Multimodal Models on Dense Text
Shuo Zhang, Biao Yang, Zhang Li +3
While large multi-modal models (LMM) have shown notable progress in multi-modal tasks, their capabilities in tasks involving dense textual content remains to be fully explored. Den…
TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document
Yuliang Liu, Biao Yang, Qiang Liu +4
We present TextMonkey, a large multimodal model (LMM) tailored for text-centric tasks. Our approach introduces enhancement across several dimensions: By adopting Shifted Window Att…
Sequential Visual and Semantic Consistency for Semi-supervised Text Recognition
Mingkun Yang, Biao Yang, Minghui Liao +2
Scene text recognition (STR) is a challenging task that requires large-scale annotated data for training. However, collecting and labeling real text images is expensive and time-co…
Class-Aware Mask-Guided Feature Refinement for Scene Text Recognition
Mingkun Yang, Biao Yang, Minghui Liao +2
Scene text recognition is a rapidly developing field that faces numerous challenges due to the complexity and diversity of scene text, including complex backgrounds, diverse fonts,…