On a typical weekday in Colombo, you can spot the contradiction from a bus window: office workers in smart suits and closed shoes hustling through 32°C heat, while street vendors and civil servants, ...

Abstract: Acquiring high-quality annotated data for medical image segmentation is tedious and costly. Semi-supervised segmentation techniques alleviate this burden by leveraging unlabeled data to ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Abstract: Retinal image segmentation is essential for analyzing retinal structures like vessels and diagnosing retinopathy. However, the inherent intricacy of the retina, along with annotation ...

MRI decoding reveals that the inferior frontal junction-visual network reinstates target-related information as a proxy for target localization before visual search.

While I found the config files and code for training and distilling DinoV3, as well as training the classification head and doing the text alignment, I didn't find training code for semantic ...

The case appears set to return to the Supreme Court in a decisive battle over President Trump’s use of the 18th-century law to deport migrants. By Alan Feuer No final decision has been made, but the ...

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 ...