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pro vyhledávání: '"Byun, Hyeongmin"'
Active learning (AL) aims to select the most useful data samples from an unlabeled data pool and annotate them to expand the labeled dataset under a limited budget. Especially, uncertainty-based methods choose the most uncertain samples, which are kn
Externí odkaz:
http://arxiv.org/abs/2210.06788
Autor:
Seo, Seokjun, Choi, Seungwoo, Kersner, Martin, Shin, Beomjun, Yoon, Hyungsuk, Byun, Hyeongmin, Ha, Sungjoo
We tackle the problem of automatic portrait matting on mobile devices. The proposed model is aimed at attaining real-time inference on mobile devices with minimal degradation of model performance. Our model MMNet, based on multi-branch dilated convol
Externí odkaz:
http://arxiv.org/abs/1904.03816
Autor:
Choi, Seungwoo, Seo, Seokjun, Shin, Beomjun, Byun, Hyeongmin, Kersner, Martin, Kim, Beomsu, Kim, Dongyoung, Ha, Sungjoo
Keyword spotting (KWS) plays a critical role in enabling speech-based user interactions on smart devices. Recent developments in the field of deep learning have led to wide adoption of convolutional neural networks (CNNs) in KWS systems due to their
Externí odkaz:
http://arxiv.org/abs/1904.03814
Publikováno v:
In Expert Systems With Applications 1 October 2016 58:210-220
