MULTI-TASK LEARNING FOR SEMANTIC AND/OR DEPTH AWARE INSTANCE SEGMENTATION

A machine-learning (ML) architecture for determining three or more outputs, such as a two and/or three-dimensional region of interest, semantic segmentation, direction logits, depth data, and/or instance segmentation associated with an object in an image. The ML architecture may output these outputs...

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Bibliographic Details
Main Authors TARIQ, Sarah, SRINIVASAN, Praveen, GOEL, Kratarth, PHILBIN, James William Vaisey
Format Patent
LanguageEnglish
French
German
Published 21.09.2022
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Summary:A machine-learning (ML) architecture for determining three or more outputs, such as a two and/or three-dimensional region of interest, semantic segmentation, direction logits, depth data, and/or instance segmentation associated with an object in an image. The ML architecture may output these outputs at a rate of 30 or more frames per second on consumer grade hardware.
Bibliography:Application Number: EP20200888291