Intelligent Multicore Processor for Attention-based Object Recognition
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Microsoft Research330 тыс
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14.02.23 – 1 9801:23:27Опубликовано 17 августа 2016, 2:23
In order to fulfill todayΓÇÖs object recognition requirements in mobile environment, the brain-inspired Unified Visual Attention Model (UVAM) is applied to SIFT-based recognition for high processing speed with limited energy budget. In addition, a heterogeneous multicore processor is proposed using SIMD/MIMD/ASIC combined architecture for different data-level parallelism of proposed algorithm. Especially, we integrated an artificial intelligence accelerator for inference and learning operation to enable smart object recognition system for future video applications.
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