… Firstly, the deep residual network was used to perform multiple … hash code which was used
to image retrieval in the Hamming space was obtained through performing the hash learning. …

… image deep feature extraction network is based on the pre-trained residual network ResNet
for migration learning… deep hash retrieval model is used as the image retrieval mode. …

… deep hashing methods of content-based speech retrieval do … hash codes, low retrieval
precision and low retrieval efficiency… the basis of the ResNet (Residual Network), and the salient …

… into hash codes, so as to ensure the retrieval … image retrieval method based on deep
metric learning is proposed in this paper. Firstly, a residual 3D-2D convolutional neural network …

… a deep hash retrieval network for large-scale chest X-ray images for large-scale … image
retrieval. To improve the accuracy and ranking quality of image retrieval, this deep hash retrieval …

… the field of image retrieval, but the application in the field of medical images is relatively
small. For this, an improved Vision Transformer Hashing algorithm for medical image retrieval is …

… It has a lower time complexity of algorithm than the method of CNN Hashing method. In …
in the field of color image retrieval but also in the field of medical gray scale image retrieval. …

… can play a positive role in the further development of image retrieval systems. … Networks,
CNN)已经在图像识别和特征提取领域表现出色.特别是深度残差网络(Deep Residual Networks),为…

… , we develop a deep supervised hash image retrieval method in terms of the integrated
Transformer and learning-asymmetric strategy. Method For the training images, a Transformer-…

… the retrieval accuracy, this paper proposes an improved Unsupervised Hash retrieval
algorithm … Key words:image retrieval;attention feature fusion;co-occurrence feature;unsupervised …