Medical image classification has developed rapidly under the impetus of ...
With the rapid development of self-supervised learning (e.g., contrastiv...
Comprehensive semantic segmentation on renal pathological images is
chal...
The quantitative detection, segmentation, and characterization of glomer...
Recent Multiple Object Tracking (MOT) methods have gradually attempted t...
Due to its fast retrieval and storage efficiency capabilities, hashing h...
Human Activity Recognition (HAR) using deep neural network has become a ...
Human Activity Recognition (HAR) using deep neural network has become a ...
With the rapid growth of multimedia data (e.g., image, audio and video e...
Due to the rapid development of mobile Internet techniques, cloud comput...
Deep Convolutional Neural Networks (DCNNs) are currently popular in huma...
The fast-growing amount of information on the Internet makes the researc...
Image similarity measures play an important role in nearest neighbor sea...
Vast amount of multimedia data contains massive and multifarious social
...
Due to the advances in mobile computing and multimedia techniques, there...
With advances in multimedia technologies and the proliferation of smart
...
With the rapid development of mobile computing and Web services, a huge
...
Massive amount of data that are geo-tagged and associated with text
info...