The human brain segments continuous experience into discrete events, with theoretical accounts proposing two distinct mechanisms: creating boundaries at points of high p ...
Image processing is manipulation of an image that has been digitised and uploaded into a computer. Software programs modify the image to make it more useful, and can for example be used to enable ...
What's CODE SWITCH? It's the fearless conversations about race that you've been waiting for. Hosted by journalists of color, our podcast tackles the subject of race with empathy and humor. We explore ...
Abstract: Semi-supervised learning has proven highly effective in tackling the challenge of limited labeled training data in medical image segmentation. In general, current approaches, which rely on ...
Abstract: CNNs have demonstrated superior performance in medical image segmentation. To overcome the limitation of only using local receptive field, previous work has attempted to integrate ...
This MATLAB application provides an intuitive graphical interface for rock segmentation in geological images using a pre-trained VGG16-UNet deep learning model. The GUI features real-time parameter ...
I noticed that in the DINOv3 repository, there are training scripts for linear probing (linear.py), k-NN (eval_knn.py), and logistic regression (eval_log_reg.py) heads, as well as corresponding main ...
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Imperial Oil says it will be eliminating 20 per cent of its workforce by the end of 2027. That will mean approximately 900 jobs, most of which are in Calgary, will be lost.
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