The weakly supervised instance segmentation is a challenging task. The
e...
Estimating the distance of objects is a safety-critical task for autonom...
Monocular image-based 3D perception has become an active research area i...
Semi-supervised video action recognition tends to enable deep neural net...
Cross-modal retrieval aims to learn discriminative and modal-invariant
f...
Most of the existing self-supervised feature learning methods for 3D dat...
As part of the development of an educational tool that can help students...
The success of supervised learning requires large-scale ground truth lab...
We propose a semi-supervised learning approach for video classification,...
In this paper, we propose a 3D Convolutional Neural Network (3DCNN) base...
Large-scale labeled data are generally required to train deep neural net...
Lung segmentation in computerized tomography (CT) images is an important...
Deep neural network-based semantic segmentation generally requires
large...
To alleviate the expensive cost of data collection and annotation, many
...