The computer-assisted radiologic informative report has received increas...
The recognition of dataset names is a critical task for automatic inform...
Due to a huge volume of information in many domains, the need for
classi...
Impressive advances in acquisition and sharing technologies have made th...
In recent years, there is a growing number of pre-trained models trained...
The computer-assisted radiologic informative report is currently emergin...
The recent advances of compressing high-accuracy convolution neural netw...
Due to the powerful ability to encode image details and semantics, many
...
Object detection often costs a considerable amount of computation to get...
As an essential part of structure from motion (SfM) and Simultaneous
Loc...
Exploring contextual information in convolution neural networks (CNNs) h...
Entropy minimization has been widely used in unsupervised domain adaptat...
Feature pyramid architecture has been broadly adopted in object detectio...
The extensive computational burden limits the usage of CNNs in mobile de...
Recurrent neural networks (RNNs) have shown the ability to improve scene...
The tabu and restart are two fundamental strategies for local search. In...
Projective analysis is an important solution for 3D shape retrieval, sin...