Image target detection method based on natural language semantics
A target detection and natural language technology, applied in the field of image target detection based on natural language semantics, can solve problems such as not supporting end-to-end training, efficiency and accuracy need to be improved, and can not be combined with natural language target recognition to improve detection efficiency , the effect of improving the accuracy
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[0018] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0019] The present invention as figure 1 shown, including the following steps:
[0020] 1. Train the shared convolutional neural network and RPN network parts of the Faster-RCNN module on the ImageNet dataset.
[0021] 2. Use the image data with target natural semantic annotations given in the ReferIt dataset to train the LSTM model.
[0022] 3. For the trained model, given an image and a natural language phrase description of the target to be queried, the corresponding target is detected from the image.
[0023] Specifically, for the input image, first use the shared convolutional neural network to extract the feature map of the image. The convolutional neural network consists of a series of convolution, activation function activation and pooling opera...
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