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Delta Activation Layer exploits temporal sparsity for efficient embedded video processing

 
dc.contributor.authorYousefzadeh, Amirreza
dc.contributor.authorSifalakis, Manolis
dc.contributor.imecauthorYousefzadeh, Amirreza
dc.contributor.imecauthorSifalakis, Manolis
dc.contributor.orcidimecYousefzadeh, Amirreza::0000-0002-2967-5090
dc.contributor.orcidimecSifalakis, Manolis::0000-0002-0949-2094
dc.date.accessioned2023-04-28T07:39:29Z
dc.date.available2023-01-07T03:16:17Z
dc.date.available2023-04-28T07:39:29Z
dc.date.issued2022
dc.description.wosFundingTextThis work is partially funded by research and innovation projects TEMPO (ECSEL JU under grant agreement No 826655), ANDANTE (ECSEL JU under grant agreement No 876925) and DAIS (KDT JU under grant agreement No 101007273), SunRISE (EUREKA cluster PENTA2018e-17004-SunRISE) and Comp4Drones (ECSEL JU grant agreement No. 826610). The JU receives support from the European Union's Horizon 2020 research and innovation programme and Sweden, Spain, Portugal, Belgium, Germany, Slovenia, Czech Republic, Netherlands, Denmark, Norway and Turkey.
dc.identifier.doi10.1109/IJCNN55064.2022.9892578
dc.identifier.eisbn978-1-7281-8671-9
dc.identifier.issn2161-4393
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40940
dc.publisherIEEE
dc.source.conferenceIEEE International Conference on Fuzzy Systems (FUZZ-IEEE) / IEEE World Congress on Computational Intelligence (IEEE WCCI) / International Joint Conference on Neural Networks (IJCNN) / IEEE Congress on Evolutionary Computation (IEEE CEC)
dc.source.conferencedateJUL 18-23, 2022
dc.source.conferencelocationPadua
dc.source.journalna
dc.source.numberofpages10
dc.subject.keywordsDEEP NEURAL-NETWORKS
dc.title

Delta Activation Layer exploits temporal sparsity for efficient embedded video processing

dc.typeProceedings paper
dspace.entity.typePublication
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