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Found 5 papers, 2 papers with code
A Novel Truncated Norm Regularization Method for Multi-channel Color Image Denoising
However, those methods mostly ignore either the cross-channel difference or the spatial variation of noise, which limits their capacity in real world color image denoising.
Multi-channel Nuclear Norm Minus Frobenius Norm Minimization for Color Image Denoising
Specifically, based on the block-matching, the color image is decomposed into overlapping RGB patches.
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma
According to the technical reports of the top-tier teams, CAM is still the most popular approach in WSSS.
Data Augmentation
Weakly supervised Semantic Segmentation
+1
Separable-HoverNet and Instance-YOLO for Colon Nuclei Identification and Counting
Nuclear segmentation, classification and quantification within Haematoxylin & Eosin stained histology images enables the extraction of interpretable cell-based features that can be used in downstream explainable models in computational pathology (CPath).
NoisyCUR: An algorithm for two-cost budgeted matrix completion
Specifically, we consider that it is possible to obtain low noise, high cost observations of individual entries or high noise, low cost observations of entire columns.
