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Found 4 papers, 1 papers with code
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity
In the second stage, our label refurbishment method is applied to obtain soft labels for multi-expert ensemble learning, providing a principled solution to the long-tail noisy label problem.
Scale-Aware Crowd Count Network with Annotation Error Correction
Furthermore, the use of a fixed Gaussian kernel fails to account for the varying pixel distribution with respect to the camera distance.
SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection
Change detection (CD) aims to find the difference between two images at different times and outputs a change map to represent whether the region has changed or not.
Ranked #3 on
Change Detection
on DSIFN-CD
Building change detection for remote sensing images
Change Detection
+3
Scale-Aware Crowd Counting Using a Joint Likelihood Density Map and Synthetic Fusion Pyramid Network
We then approximate the joint distribution of crowd density maps with the full covariance of multiple scales and derive a low-rank approximation for tractability and efficient implementation.
