Jun 10, 2019 � Keyword spotting (KWS) is defined as the problem of detecting all instances of a given word, provided by the.
In this work, we propose a time and storage-efficient, deep feature-based approach that enables both the image and textual search options. Three distinct�...
Three distinct components, all modeled as neural networks, are combined: normalization, feature extraction and representation of image and textual input�...
In this work, we propose a time and storage-efficient, deep feature-based approach that enables both the image and textual search options.
In this work, we propose a time and storage-efficient, deep feature-based approach that enables both the image and textual search options. Three distinct�...
In this work, we propose a time and storage-efficient, deep feature-based approach that enables both the image and textual search options. Three distinct�...
An alternative deep feature approach to line level keyword spotting. G Retsinas, G Louloudis, N Stamatopoulos, G Sfikas, B Gatos. Proceedings of the IEEE/CVF�...
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An Alternative Deep Feature Approach to Line Level Keyword Spotting. G. Retsinas, G. Louloudis, N. Stamatopoulos, G. Sfikas, and B. Gatos. In IEEE Conference�...
キーワード検出に加え，テキスト検索，画像検索機能を備えた．また検出精度は従来の最先端手法と同等となっている．
An Alternative Deep Feature Approach to Line Level Keyword Spotting ... Three distinct components, all modeled as neural networks, are combined: normalization,�...