all AI news
FastSAM Drastically Reduces Cost to Provide Real-Time Solution for Segment Anything Model
Synced syncedreview.com
In a new paper Fast Segment Anything, a research team from Chinese Academy of Sciences, University of Chinese Academy of Sciences, Objecteye Inc. and Wuhan AI Research presents FastSAM, a real-time solution for the segment anything task that achieves comparable performance to SAM while drastically reducing computational demands.
The post FastSAM Drastically Reduces Cost to Provide Real-Time Solution for Segment Anything Model first appeared on Synced.
ai ai research artificial intelligence chinese computational cost deep-neural-networks image-segmentation machine learning machine learning & data science ml paper performance real-time research research team sam segment anything model solution team technology university