Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...
Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...
The Guangdong Artificial Intelligence and Advanced Computing Research Institute (GAIIC) has recently announced a joint patent authorization with Xinjump Technology (Guangzhou) Co., Ltd. for a patent ...
The latest announcement from the National Intellectual Property Administration shows that the Guangdong Artificial Intelligence and Advanced Computing Research Institute, in collaboration with Chip ...
Abstract: In this paper, we are exploring deep learning based image segmentation methods and evaluating the performance of different deep learning models in image segmentation tasks. U-Net, DeepLabv3+ ...
By combining multispectral imaging with computer vision methods, Tel Aviv University researchers give scholars new tools to ...
Abstract: Pixel-level classification of remote sensing images is a fundamental task in Earth science-related research. However, current automated models inevitably produce some segmentation errors. In ...
We propose SegDINO, an efficient image segmentation framework that couples a frozen DINOv3 backbone with a lightweight MLP decoder, achieving state-of-the-art performance on both medical and natural ...
Introduction: Weeds compete with crops for water, nutrients, and light, negatively impacting maize yield and quality. To enhance weed identification accuracy and meet the requirements of precision ...
A research team led by Prof. Wang Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, recently proposed a semi-supervised ...
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