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6 days ago · By incorporating recurrent connections, the model gains the ability to capture long-range dependencies and facilitate the smooth flow of information through the ...
4 days ago · Our method learns to globally adjust the image for each specific named color via tone curves and then combines the images using an attention-based fusion ...
1 day ago · The classification task is requested to identify the age of the bloodstain over a certain surface among seven categories, while the segmentation task is ...
2 days ago · This paper introduces a novel approach that combines unsupervised active contour models with deep learning for robust and adaptive image segmentation.
Water body extraction from high spatial resolution remote sensing ...
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5 days ago · Employing deep learning techniques for the semantic segmentation of remote sensing images has emerged as a prevalent approach for acquiring information ...
Missing: Minimal | Show results with:Minimal
7 days ago · A “smooth” result is a minimum of 1920 pixels (i.e., sampling) for the longer side of the sensor. · For square pixels, the resolution of the shorter side of the ...
Missing: Segmentation | Show results with:Segmentation
4 days ago · A large-scale dataset containing 3378 images and 49,380 instances in 11 classes for building component segmentation.
Missing: Minimal | Show results with:Minimal
2 days ago · This review provides an overview of the state-of-the-art computer vision methods applied to the microstructural analysis of materials, discussing the main image ...
3 days ago · Vapor smoothing creates a uniform, sealed surface with a semi-gloss appearance. SLS parts can be color-dyed. The enhanced surface also increases the overall ...
10 hours ago · YOLO balances performance and accuracy by processing the entire image in a single pass, making it faster and more efficient. Can YOLO detect objects in poor ...