Criminal Investigation Image Retrieval Based on Deep Hash Code

For the problem of low accuracy and efficiency in criminal investigation image retrieval tasks, proposed a retrieval method based on deep hash coding. Adopting ResNet as backbone network for feature extraction, and adding a pyramid pooling layer to enhance the quality of image features; In order to improve the retrieval efficiency, a deep hash layer is introduced to adaptively extract binary hash code for the image. By means of image-pair training method, and Combination of classification loss and contrast loss for joint learning, optimize training effect. Experiments show that the accuracy and efficiency of image retrieval by this method are significantly improved when compared with the existing benchmark algorithms.