This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
Like a bad Tinder date, Jupiter is not as big as billed. Scholastic materials across academia will need an overhaul after scientists made the startling discovery that our solar system’s largest planet ...
Abstract: In this letter, we present a pixel-level predictive sampling method for image sensing and processing to reduce the computing overhead for power-limited image sensing systems. The predictive ...
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When image processing matters more than megapixels
A direct camera comparison puts Apple’s newest Pro phone against Samsung’s latest Ultra flagship. The test examines photos and video across everyday scenarios including low light, zoom, and motion.
The field of optical image processing is undergoing a transformation driven by the rapid development of vision-language models (VLMs). A new review article published in iOptics details how these ...
Apple researchers have developed an AI model that dramatically improves extremely dark photos by integrating a diffusion-based image model directly into the camera’s image processing pipeline, ...
Abstract: Sub-pixel target detection is a challenging task in hyperspectral image processing. Most statistical detectors rely on the estimation of the background covariance matrix. In contrast to the ...
This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual information ...
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