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OBJECT DETECTION USING MULTIPLE NEURAL NETWORKS TRAINED FOR DIFFERENT IMAGE FIELDS
OBJECT DETECTION USING MULTIPLE NEURAL NETWORKS TRAINED FOR DIFFERENT IMAGE FIELDS
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机译:对象检测使用针对不同图像字段训练的多个神经网络
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摘要
A system and method relating to object detection may include receiving an image frame comprising an array of pixels captured by an image sensor associated with the processing device, identifying a near-field image segment and a far-field image segment in the image frame, applying a first neural network trained for near-field image segments to the near-field image segment for detecting the objects presented in the near-field image segment, and applying a second neural network trained for far-field image segments to the far-field image segment for detecting the objects presented in the near-field image segment.
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