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Visual attention has been successfully applied in structural prediction tasks such as visual captioning and question answering. Existing visual attention models are generally spatial, i.e., the attention is modeled as spatial probabilities that re-weight the last conv-layer feature map of a CNN encoding an input image. However, we argue that such spatial attention does not necessarily conform to the...
VD (Vehicle Detection) is one of the main challenges in ADAS. The encountered vehicles can be of different orientations and positions, especially in scenarios such as crossroads. Traditional VD approaches have shown outstanding performance only with vehicle images of limited orientations and positions: head and tail of a vehicle, others such as side views have been shown to be detection challenged...
Research of the neural network language model in NLP is reviewed. In this paper, the neural network language models are classified into early shallow language models and deep neural network models based on deep learning. This paper emphatically introduces progress of the deep neural network language models, and summarizes the status of deep neural network research's development. Finally, the existing...
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