The image entropy is then introduced to adaptively output the optimal one as a sensing kernel. Therewith, this kernel is used to operate a shift-invariant sparse analysis on raw time-frequency image.

Then there’s still a question of getting systemd-boot output as well. I’ve got console=tty0 console=ttyUSB0,115200 in the kernel commandline, and I added both usbserial and pl2303 modules to ...

Google confirmed that Imagen 4, which is the company's state-of-the-art text-to-image, is rolling out for free, but only on ...

Convolutional neural networks (CNNs) have been widely used in hyperspectral image (HSI) classification. However, a shape-fixed convolution kernel cannot extract appropriate spatial-spectral features.

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

While reviewing the project, I noticed that the input image token count is 324, whereas the output token count is 81. However, the paper mentions that the input and output share the same embedding ...

When running the generation script, setting the denoise value too low (e.g., 0.1 or below) in the KSampler node causes the generated image to appear completely gray or blank. Low denoise values ...