Abstract: Deep Neural network learning for image processing faces major challenges related to changes in distribution across layers, which disrupt model convergence and performance. Activation ...

ABSTRACT: Image segmentation is a fundamental process in digital image analysis, with applications in object recognition, medical imaging, and computer vision. Traditional segmentation techniques ...

Add a description, image, and links to the image-normalization topic page so that developers can more easily learn about it.

ABSTRACT: Pneumonia remains a significant cause of morbidity and mortality worldwide, particularly in vulnerable populations such as children and the elderly. Early detection through chest X-ray ...

We chose the best-performing model, ResNet50, to thoroughly analyze the image clustering output. To assess clustering accuracy, we examined 4.01% (441/10,990) of the samples from each video cluster.

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Flux is a free and open-source model for generating AI images. It's even better than Midjourney in producing human images. You can use Flux AI for free on HuggingFace, NightCafe, BasedLabs, and other ...

Abstract: In this work we introduce a novel approach for lane-image pre-processing that normalizes illumination, preserves lane lines and significantly reduces image noise. The method presented ...