expirers
@expirers
Figuring out how handheld objects are positioned is tough but key for robots and vision tech. Current methods using RGB and depth data struggle with hand blockages and merging info. A new study tackles this with a smart deep learning setup. It uses a fresh voting system to blend data and a special module to handle hand-related pose guesses.
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