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Found 4 papers, 4 papers with code
Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images
In view of these issues, we propose a more explicit and sophisticated modeling of time and accordingly establish a pair-to-video change detection (P2V-CD) framework.
Ranked #1 on
Change Detection
on CDD Dataset (season-varying)
Building change detection for remote sensing images
Change Detection
+3
Deep Superpixel-based Network for Blind Image Quality Assessment
In order to fill this gap, we propose a deep adaptive superpixel-based network, namely DSN-IQA, to assess the quality of image based on multi-scale and superpixel segmentation.
ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing Images
In this article, we propose an end-to-end superpixel-enhanced CD network (ESCNet) for VHR images, which combines differentiable superpixel segmentation and a deep convolutional neural network (DCNN).
Ranked #14 on
Change Detection
on CDD Dataset (season-varying)
Change Detection
Change detection for remote sensing images
+2
No-Reference Color Image Quality Assessment: From Entropy to Perceptual Quality
In the frequency domain, the two-dimensional entropy and the mutual information of the filtered sub-band images are computed as the feature set of the input color image.
