This project implements various image segmentation training and active learning methods, supporting the ISIC 2017 and Oxford IIIT PET datasets. If the project file name contains "ISIC," it indicates ...
Meta's new image segmentation models can identify objects and people and reconstruct them in 3D - SiliconANGLE ...
In this paper, the authors proposed a fully convolutional neural network architecture for biomedical image segmentation which overcame the limitations of the contemporary algorithms. Unlike other ...
The model is trained and validated on a dataset of 2D CT scan images and their corresponding lung masks from Kaggle. The code handles data loading and preprocessing, including resizing images to ...
Google's Pixel 2 lineup reportedly delivers one of the best imaging experiences from a smartphone, according to users. Now, its portrait mode goes open-source. Industry experts apparently agree that ...
Abstract: Open-vocabulary semantic segmentation in remote sensing aims to recognize arbitrary object categories from satellite imageries beyond a fixed label set, but its progress is constrained by ...
The amount of aerial and satellite imagery captured worldwide continues to grow. Yet, efficiently identifying and labeling features in these images—like roofs, cars, or trees—remain challenging. To ...
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