Výsledky vyhledávání - "Fully convolutional encoder–decoder network"

Enhancing time‐frequency resolution via deep‐learning framework Autor Wang, Zixin, Chen, Lixing, Xiao, Peng, Xu, Lingji, Li, Zhenglin

“…The fixed window function used in the short‐time Fourier transform (STFT) does not guarantee both time and frequency resolution, exerting a negative impact on…”
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A novel SpaSA based hyper-parameter optimized FCEDN with adaptive CNN classification for skin cancer detection Autor Ali, Rizwan, Manikandan, A., Lei, Rui, Xu, Jinghong

“…Skin cancer is the most prevalent kind of cancer in people. It is estimated that more than 1 million people get skin cancer every year in the world. The…”
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Optimizing the Hyperparameters of Fully Convolutional Encoder-Decoder Networks for SAR Image Segmentation Autor Liu, Yuanyue, Zhao, Jin, Fan, Jianchao, Wang, Jun

“…Fully convolutional encoder-decoder networks have been developed for the segmentation of sensing synthetic aperture radar (SAR) images. A recent one called the…”
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A novel deep fully convolutional encoder-decoder network and similarity analysis for English education text event clustering analysis Autor Jing, Zhenping

“…Education event clustering for social media aims to achieve short text clustering according to event characteristics in online social networks. Traditional…”
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Very deep fully convolutional encoder–decoder network based on wavelet transform for art image fusion in cloud computing environment Autor Chen, Tong, Yang, Juan

“…Big data video images contain a lot of information in the cloud computing environment. There are usually many images in the same scene, and the information…”
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Deep Multicameral Decoding for Localizing Unoccluded Object Instances from a Single RGB Image Autor Grard, Matthieu, Dellandréa, Emmanuel, Chen, Liming

“…Occlusion-aware instance-sensitive segmentation is a complex task generally split into region-based segmentations, by approximating instances as their bounding…”
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