A research team has developed FreezeNet, a lightweight deep learning model that uses smartphone-captured images to accurately assess freeze injury in wheat seedlings.
Convergent evolution—where distinct species independently evolve similar traits or functions, such as the wings of birds and ...
Black-and-white images of pom-pom–like clusters, semi-translucent fields of tiny dark gray stars on a pale background, and ...
Tech Xplore on MSN
Tool for training-free, real-time video editing and background separation developed
Bar-Ilan University announced today that a team from its Department of Computer Science has developed a breakthrough in video processing that significantly simplifies the separation of foreground ...
ChatGPT-style vision models often 'hallucinate' elements that do not belong in an image. A new method cuts down on these errors by showing the model exaggerated versions of its own hallucinations, ...
Ilan’s Department of Computer Science, led by Dr. Dvir Samuel and Prof. Gal Chechik (also of NVIDIA), has developed ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback