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5“...Local features could learn semantic information for pedestrian images and they are very important...”
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6“.... In this way, we can conduct part-based supervised learning using the identification network. The proposed PGR...”
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7“... mobile terminals, the scene character recognition has become a significant yet very challenging task...”
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8“... learns integration weights for different feature dimensions. To avoid the tough selection of deep models...”
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9“... stroke detectors and captures the spatial context of discriminative strokes by learning contextual factor...”
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10“.... Yet such kind of approaches simply center upon learning global features from visual information, which...”
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11by Shaohua Liu, Minghao Li, Xiaona Zhang, Shuang Liu, Zhaoxin Li, Jing Liu, Tianlu Mao“... that combines MVS depth maps with monocular depth maps predicted via deep learning. A lookup table remap...”
Published 2020-01-01
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12“...) for person re-identification in camera networks, which jointly learns global and local features in a unified...”
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13“...) for person re-identification in camera sensor networks, which jointly learns global and multi-scale local...”
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14“.... To learn the heterogeneous features (visual features and multimodal features) from the ground-based cloud...”
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15“... features and deep multimodal features, which could learn complex correlations among them owing to the deep...”
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16“... convolutional layers, which could learn the structural, textural, and high-level semantic information for ground...”
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17“... method named deep multimodal fusion (DMF). In order to learn the visual features, we train a...”
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