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Visually grounded paraphrase identification via gating and phrase localization
Visually grounded paraphrases (VGPs) describe the same visual concept but in different wording. Previous studies have developed models …
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Convolutional Neural Network Can Recognize Drug Resistance of Single Cancer Cells
textlessptextgreaterIt is known that single or isolated tumor cells enter cancer patients’ circulatory systems. These circulating …
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ContextNet: representation and exploration for painting classification and retrieval in context
© 2019, The Author(s). In automatic art analysis, models that besides the visual elements of an artwork represent the relationships …
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Speech-driven face reenactment for a video sequence
We present a system for reenacting a person’s face driven by speech. Given a video sequence with the corresponding audio track of …
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Warmer Environments Increase Implicit Mental Workload Even If Learning Efficiency Is Enhanced
© Copyright © 2020 Kimura, Takemura, Nakashima, Kobori, Nagahara, Numao and Shinohara. Climate change is one of the most important …
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Contextualized multi-sense word embedding
Currently, distributed word representations are employed in many natural language processing tasks. However, when generating one …
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Deep-UV excitation fluorescence microscopy for detection of lymph node metastasis using deep neural network
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Reflectance and Shape Estimation with a Light Field Camera Under Natural Illumination
Reflectance and shape are two important components in visually perceiving the real world. Inferring the reflectance and shape of an …
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歴史研究におけるビッグデータの活用－オーストラリアを中心に
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Metric for automatic machine translation evaluation based on pre-trained sentence embeddings
This study describes a segment-level metric for automatic machine translation evaluation (MTE). Although various MTE metrics have been …
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