Modeling customer shopping intentions is a crucial task for e-commerce, ...
Object detection on VHR remote sensing images plays a vital role in
appl...
Deep learning has made many remarkable achievements in many fields but
s...
This paper proposes a novel formulation of prototypical loss with mixup ...
Speaker recognition, recognizing speaker identities based on voice alone...
Significant progress has been made in automatic road extra-ction or
segm...
With the development of deep learning, medical image classification has ...
By implicitly recognizing a user based on his/her speech input, speaker
...
Speaker recognition is the process of identifying a speaker based on the...
Object detection and instance segmentation in remote sensing images is a...
In order to efficiently learn with small amount of data on new tasks,
me...
Benefit from large-scale training datasets, deep Convolutional Neural
Ne...
We develop a connection sensitive attention U-Net(CSAU) for accurate ret...
Robust semantic segmentation of VHR remote sensing images from UAV senso...
In recent years, Fully Convolutional Networks (FCN) has been widely used...
For the task of subdecimeter aerial imagery segmentation, the fine-grain...
Deep convolutional neural networks (CNNs) have greatly improved the Face...
Deep convolutional neural networks (CNNs) have greatly improved the Face...