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Google Brain’s UViM: A Unified Approach for Modelling Diverse Vision Tasks Without Modifications
June 2, 2022, 3:46 p.m. | Synced
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In the new paper UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes, a Google Brain research team proposes UViM, a unified approach that leverages language modelling and discrete representation learning to enable the modelling of a wide range of computer vision tasks without task-specific modifications.
The post Google Brain’s UViM: A Unified Approach for Modelling Diverse Vision Tasks Without Modifications first appeared on Synced.
ai artificial intelligence brain computer vision computer vision & graphics deep-neural-networks google google brain language model machine learning machine learning & data science ml modelling representation learning research technology vision
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