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Found 6 papers, 0 papers with code
Task-Related Self-Supervised Learning for Remote Sensing Image Change Detection
(3) a smooth mechanism is utilized to remove some of pseudo-changes and noise.
Change Detection
Change detection for remote sensing images
+1
Instance-aware Remote Sensing Image Captioning with Cross-hierarchy Attention
The spatial attention is a straightforward approach to enhance the performance for remote sensing image captioning.
Weighted Hierarchical Sparse Representation for Hyperspectral Target Detection
However, background dictionary building issue and the correlation analysis of target and background dictionary issue have not been well studied.
Open Set Domain Recognition via Attention-Based GCN and Semantic Matching Optimization
Open set domain recognition has got the attention in recent years.
Deep feature selection-and-fusion for RGB-D semantic segmentation
Scene depth information can help visual information for more accurate semantic segmentation.
Ranked #9 on
Semantic Segmentation
on SUN-RGBD
(using extra training data)
Self-supervised spectral matching network for hyperspectral target detection
In order to learn more discriminative features, a pair-based loss is adopted to minimize the distance between target pixels while maximizing the distances between target and background.
