Image Semantic Segmentation Approach for Studying Human Behavior on Image Data
Zhan ZHENG,
Da CHEN,
Yanrong HUANG
Abstract:Image semantic segmentation is an essential technique for studying human behavior through image data. This paper proposes an image semantic segmentation method for human behavior research. Firstly, an end-to-end convolutional neural network architecture is proposed, which consists of a depth-separable jump-connected fully convolutional network and a conditional random field network; then jump-connected convolution is used to classify each pixel in the image, and an image semantic segmentation method based on c… Show more
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