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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 ...
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 ...
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 ...