第一个采用Siamese Network进行大规模图像匹配研究的(作者的创新点源于此文章): Lin, T.Y., Cui, Y., Belongie, S., Hays, J.: Learning deep representations for groundto-aerial geolocalization. In: Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on. (2015) 4.2 孪生网络+全...
第一个采用Siamese Network进行大规模图像匹配研究的(作者的创新点源于此文章): Lin, T.Y., Cui, Y., Belongie, S., Hays, J.: Learning deep representations for groundto-aerial geolocalization. In: Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on. (2015) 4.2 孪生网络+全...
Inspired by the progresses made in deep learning, a new technical framework for remote sensing image matching based on the Siamese convolutional neural network is presented in this paper. First, a Siamese-type network architecture is designed to simultaneously learn the features and the corresponding ...
This paper focuses on building a bidirectional gated recurrent unit(BiGRU) deep learning model based on Siamese network for medical interrogative similarity matching, using Word2Vec word embedding tool for word vector processing of ethnic-medical corpus, and introducing an attention mechanism and convolut...
SiamADT: Siamese Attention and Deformable Features Fusion Network for Visual Object Tracking To date, existing Siamese-based trackers have achieved excellent performance. However, in some complex scenarios, using deep convolutional layers alone can... F Wang,P Cao,X Wang,... - 《Neural Processing...
Observing that Semantic features learned in an image classification task and Appearance features learned in a similarity matching task complement each other, we build a twofold Siamese network, named SA-Siam, for real-time object tracking. SA-Siam is composed of a semantic branch and an appearance...
To solve this problem, a spatial-wise attention mechanism is introduced into our proposed method, for it has been proven capable to create a mask for features in CNN to make the network focus on specific areas according to the needs of the task [35]. Based on this characteristic of the ...
Observing that Semantic features learned in an image classification task and Appearance features learned in a similarity matching task complement each other, we build a twofold Siamese network, named SA-Siam, for real-time object tracking. SA-Siam is composed of a semantic branch and an appearance...
2) Pre-trained ResNet50 features, and 3) ResNet50 features with Siamese network similarity metric.We also see that for examples where the model can find the matching product (shown in Figure 10 below), the other matches in the top 20 results are semantically s...
Siamese Adversarial Network for image classification of heavy mineral grains The features are reconstructed to discard domain-related information by adversarial training the heavy mineral classifier and domain discriminator. The ... H Hao,Z Jiang,S Ge,... - 《Computers & Geosciences》 被引量: 0发...