Deep tech FOMO is a TinyML neural network for real-time object detection FOMO is a deep learning object detection model that weighs less than 200 kilobytes April 24, 2022 - 8:09 pm ...

Real-time object detection, which uses neural networks and deep learning to rapidly identify and tag objects of interest in a video feed, is a handy feature with great hacker potential. Happily, it… ...

It uses RGB, depth, and BEV images as inputs to the network to regress the object's category, 3D size, and spatial location, respectively. The algorithm combines a multi-channel neural network ...

--WiMi Hologram Cloud Inc., a leading global Hologram Augmented Reality Technology provider, today announced that its R&D team is working on a 3 D object detection algorithm based on multi-channel ...

BEIJING, April 14, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WiMi' or the 'Company'), a leading global Hologram Augmented Rea ...