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We present a novel single-shot text detector that directly outputs word-level bounding boxes in a natural image. We propose an attention mechanism which roughly identifies text regions via an automatically learned attentional map. This substantially suppresses background interference in the convolutional features, which is the key to producing accurate inference of words, particularly at extremely...
Lower-limb exoskeleton is widely used for assisting walk in rehabilitation field. One key problem for exoskeleton control is to model and predict the suitable gait trajectories of wearer. In this paper, we propose a Deep Rehabilitation Gait Learning (DRGL) for modeling the knee joints of lower-limb exoskeleton, which firstly leverage Long-Short Term Memory (LSTM) to learn the inherent spatial-temporal...
Shearer height adjusting is a key technology for coalmine unmanned working face. On the basis of establishing Shearer working face mathematical models, this paper determined related parameters influencing the Shearer height adjusting, then analyzed traditional Shearer memory cutting strategy and pointed out its shortcomings. Aiming at changing technical limitations of Shearer height adjusting currently,...
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