Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3132916
Abstract: Video classification researches that have recently attracted attention are the fields of temporal modeling and 3D efficient architecture. However, the temporal modeling methods are not efficient or the 3D efficient architecture is less interested in… read more here.
Keywords: factorization; temporal modeling; video classification; depthwise ... See more keywords
A 0.61-μW Fully Integrated Keyword-Spotting ASIC With Real-Point Serial FFT-Based MFCC and Temporal Depthwise Separable CNN
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Solid-State Circuits"
DOI: 10.1109/jssc.2023.3339528
Abstract: A fully integrated near-microphone keyword spotting (KWS) chip is proposed to directly interact with a passive microphone and achieve submicrowatt power for the Internet of Things (IoT) devices. First, an on-chip analog frontend (AFE) is… read more here.
Keywords: keyword spotting; depthwise; fully integrated; depthwise separable ... See more keywords
An eDRAM-Based Computing-in-Memory Macro With Full-Valid-Storage and Channel-Wise-Parallelism for Depthwise Neural Network
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2024.3375319
Abstract: Computing-in-memory (CIM) provides a highly efficient solution for neural networks in edge artificial intelligence applications. Most SRAM-based CIM designs can achieve high energy efficiency and area efficiency in standard convolutional layer’s multiply-and-accumulate (MAC) operations. However,… read more here.
Keywords: depthwise; efficiency; memory; area efficiency ... See more keywords