12/28/22 - Benefiting from its single-photon sensitivity, single-photon avalanche diode (SPAD) array has been widely applied in various field...
12/20/22 - A popular approach to creating a zero-shot cross-language retrieval model is to substitute a monolingual pretrained language model...
12/01/22 - Focusing on the complicated pathological features, such as blurred boundaries, severe scale differences between symptoms, backgrou...
10/17/22 - Nowadays, online screen sharing and remote cooperation are becoming ubiquitous. However, the screen content may be downsampled and...
10/04/22 - Simulating facial appearance change following bony movement is a critical step in orthognathic surgical planning for patients with...
09/08/22 - Normal fetal adipose tissue (AT) development is essential for perinatal well-being. AT, or simply fat, stores energy in the form o...
08/30/22 - Several chronic lung diseases, like idiopathic pulmonary fibrosis (IPF) are characterised by abnormal dilatation of the airways. Q...
08/20/22 - This paper studies class incremental learning (CIL) of continual learning (CL). Many approaches have been proposed to deal with ca...
08/21/22 - The prosperity of deep learning contributes to the rapid progress in scene text detection. Among all the methods with convolutiona...
08/13/22 - Data imputation is an effective way to handle missing data, which is common in practical applications. In this study, we propose a...
A spatial transformer network is a specialized type of convoluted neural network, or CNN, used to improve the clarity of an object in an image.