70 citations · 97 across the 18 of their papers we have counts for
6 papers · 1 filter
Explicit Relational Reasoning Network for Scene Text Detection
Yuchen Su, Zhineng Chen, Yongkun Du +4
Connected component (CC) is a proper text shape representation that aligns with human reading intuition. However, CC-based text detection methods have recently faced a developmenta…
TextSSR: Diffusion-based Data Synthesis for Scene Text Recognition
Xingsong Ye, Yongkun Du, Yunbo Tao +1
Scene text recognition (STR) suffers from challenges of either less realistic synthetic training data or the difficulty of collecting sufficient high-quality real-world data, limit…
SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition
Yongkun Du, Zhineng Chen, Hongtao Xie +2
Connectionist temporal classification (CTC)-based scene text recognition (STR) methods, e.g., SVTR, are widely employed in OCR applications, mainly due to their simple architecture…
Decoder Pre-Training with only Text for Scene Text Recognition
Shuai Zhao, Yongkun Du, Zhineng Chen +1
Scene text recognition (STR) pre-training methods have achieved remarkable progress, primarily relying on synthetic datasets. However, the domain gap between synthetic and real ima…
Out of Length Text Recognition with Sub-String Matching
Yongkun Du, Zhineng Chen, Caiyan Jia +2
Scene Text Recognition (STR) methods have demonstrated robust performance in word-level text recognition. However, in real applications the text image is sometimes long due to dete…
Instruction-Guided Scene Text Recognition
Yongkun Du, Zhineng Chen, Yuchen Su +2
Multi-modal models have shown appealing performance in visual recognition tasks, as free-form text-guided training evokes the ability to understand fine-grained visual content. How…