6 papers
Task-Related Self-Supervised Learning for Remote Sensing Image Change Detection
Zhinan Cai, Zhiyu Jiang, Yuan Yuan
Change detection for remote sensing images is widely applied for urban change detection, disaster assessment and other fields. However, most of the existing CNN-based change detect…
Open Set Domain Recognition via Attention-Based GCN and Semantic Matching Optimization
Xinxing He, Yuan Yuan, Zhiyu Jiang
Open set domain recognition has got the attention in recent years. The task aims to specifically classify each sample in the practical unlabeled target domain, which consists of al…
Instance-aware Remote Sensing Image Captioning with Cross-hierarchy Attention
Chengze Wang, Zhiyu Jiang, Yuan Yuan
The spatial attention is a straightforward approach to enhance the performance for remote sensing image captioning. However, conventional spatial attention approaches consider only…
Weighted Hierarchical Sparse Representation for Hyperspectral Target Detection
Chenlu Wei, Zhiyu Jiang, Yuan Yuan
Hyperspectral target detection has been widely studied in the field of remote sensing. However, background dictionary building issue and the correlation analysis of target and back…
Deep feature selection-and-fusion for RGB-D semantic segmentation
Yuejiao Su, Yuan Yuan, Zhiyu Jiang
Scene depth information can help visual information for more accurate semantic segmentation. However, how to effectively integrate multi-modality information into representative fe…
Self-supervised spectral matching network for hyperspectral target detection
Can Yao, Yuan Yuan, Zhiyu Jiang
Hyperspectral target detection is a pixel-level recognition problem. Given a few target samples, it aims to identify the specific target pixels such as airplane, vehicle, ship, fro…