no code implementations • 29 Nov 2023 • Zichen Tian, Zhaozheng Chen, Qianru Sun
If large-scale models pre-trained with regular images can be adapted to generating novel SAR images, the problem is solved.
no code implementations • 1 Dec 2022 • Zichen Tian, Chuhui Xue, Jingyi Zhang, Shijian Lu
We study domain adaptive scene text detection, a largely neglected yet very meaningful task that aims for optimal transfer of labelled scene text images while handling unlabelled images in various new domains.
no code implementations • CVPR 2023 • Gongjie Zhang, Zhipeng Luo, Zichen Tian, Jingyi Zhang, Xiaoqin Zhang, Shijian Lu
Multi-scale features have been proven highly effective for object detection but often come with huge and even prohibitive extra computation costs, especially for the recent Transformer-based detectors.
1 code implementation • CVPR 2022 • Chuhui Xue, Zichen Tian, Fangneng Zhan, Shijian Lu, Song Bai
State-of-the-art document dewarping techniques learn to predict 3-dimensional information of documents which are prone to errors while dealing with documents with irregular distortions or large variations in depth.
no code implementations • CVPR 2022 • Jingyi Zhang, Jiaxing Huang, Zichen Tian, Shijian Lu
Second, it introduces multi-view spectral learning that learns useful unsupervised representations by maximizing mutual information among multiple ST-generated spectral views of each target sample.