229 citations · 669 across the 26 of their papers we have counts for
6 papers · 2 filters
Diff-Font: Diffusion Model for Robust One-Shot Font Generation
Haibin He, Xinyuan Chen, Chaoyue Wang +4
Font generation is a difficult and time-consuming task, especially in those languages using ideograms that have complicated structures with a large number of characters, such as Ch…
DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting
Maoyuan Ye, Jing Zhang, Shanshan Zhao +4
End-to-end text spotting aims to integrate scene text detection and recognition into a unified framework. Dealing with the relationship between the two sub-tasks plays a pivotal ro…
Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning
Hongruixuan Chen, Naoto Yokoya, Chen Wu +1
Unsupervised multimodal change detection is a practical and challenging topic that can play an important role in time-sensitive emergency applications. To address the challenge tha…
DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer
Maoyuan Ye, Jing Zhang, Shanshan Zhao +3
Recently, Transformer-based methods, which predict polygon points or Bezier curve control points for localizing texts, are popular in scene text detection. However, these methods b…
An Empirical Study of Remote Sensing Pretraining
Di Wang, Jing Zhang, Bo Du +2
Deep learning has largely reshaped remote sensing (RS) research for aerial image understanding and made a great success. Nevertheless, most of the existing deep models are initiali…
An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection
Jia Liu, Wenjie Xuan, Yuhang Gan +2
Existing deep learning-based change detection methods try to elaborately design complicated neural networks with powerful feature representations, but ignore the universal domain s…