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
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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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