7 citations · 27 across the 10 of their papers we have counts for
11 papers
Embedding Rotation Invariance for Provable Multi-Oriented Scene Text Recognition
Zhibin Ma, Pengwen Dai, Yi Liu +3
Multi-oriented text is ubiquitous in real-world scenes and remains a major challenge for scene text recognition (STR). Existing rotation-aware methods explicitly estimate text orie…
Towards Training-Free Scene Text Editing
Yubo Li, Xugong Qin, Peng Zhang +3
Scene text editing seeks to modify textual content in natural images while maintaining visual realism and semantic consistency. Existing methods often require task-specific trainin…
Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text Retrieval
Gangyan Zeng, Yuan Zhang, Jin Wei +5
Scene text retrieval aims to find all images containing the query text from an image gallery. Current efforts tend to adopt an Optical Character Recognition (OCR) pipeline, which r…
Towards Robust Real-Time Scene Text Detection: From Semantic to Instance Representation Learning
Xugong Qin, Pengyuan Lyu, Chengquan Zhang +5
Due to the flexible representation of arbitrary-shaped scene text and simple pipeline, bottom-up segmentation-based methods begin to be mainstream in real-time scene text detection…
UNITS: Unsupervised Intermediate Training Stage for Scene Text Detection
Youhui Guo, Yu Zhou, Xugong Qin +2
Recent scene text detection methods are almost based on deep learning and data-driven. Synthetic data is commonly adopted for pre-training due to expensive annotation cost. However…
Which and Where to Focus: A Simple yet Accurate Framework for Arbitrary-Shaped Nearby Text Detection in Scene Images
Youhui Guo, Yu Zhou, Xugong Qin +1
Scene text detection has drawn the close attention of researchers. Though many methods have been proposed for horizontal and oriented texts, previous methods may not perform well w…
Mask is All You Need: Rethinking Mask R-CNN for Dense and Arbitrary-Shaped Scene Text Detection
Xugong Qin, Yu Zhou, Youhui Guo +5
Due to the large success in object detection and instance segmentation, Mask R-CNN attracts great attention and is widely adopted as a strong baseline for arbitrary-shaped scene te…
Arbitrarily Shaped Scene Text Detection: A Decade of Advances and Systematic Analysis
Pengwen Dai, Feiyang He, Chaolang Li +3
Scene text detection has become an important research area in computer vision. However, dynamic changes in scenes and the complex diversity of text appearances make accurate scene…
Gaussian Constrained Attention Network for Scene Text Recognition
Zhi Qiao, Xugong Qin, Yu Zhou +2
Scene text recognition has been a hot topic in computer vision. Recent methods adopt the attention mechanism for sequence prediction which achieve convincing results. However, we a…
FC2RN: A Fully Convolutional Corner Refinement Network for Accurate Multi-Oriented Scene Text Detection
Xugong Qin, Yu Zhou, Dayan Wu +2
Recent scene text detection works mainly focus on curve text detection. However, in real applications, the curve texts are more scarce than the multi-oriented ones. Accurate detect…
Curved Text Detection in Natural Scene Images with Semi- and Weakly-Supervised Learning
Xugong Qin, Yu Zhou, Dongbao Yang +1
Detecting curved text in the wild is very challenging. Recently, most state-of-the-art methods are segmentation based and require pixel-level annotations. We propose a novel scheme…