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Research on Faster R-CNN has recently witnessed the progress in both accuracy and execution efficiency in detecting objects such as faces, hands or pedestrians in photograph or video. However, constrained by the size of its convolution feature map output, it is unable to clearly detect small or tiny objects. Therefore, we presented a fast, deep convolutional neural network based on a modified Faster...
Research on Region Convolution Neural Network (RCNN) based object localization has recently witnessed rapid progress, but constrained by the size of the output convolution map, this method is unable to obtain exact object positions. In this paper, we present a multi-task learning approach on convolution neural network for object localization. Our model consists of 3 modules, respectively extracting...
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