Recent years have witnessed the success of deep learning on the visual s...
Estimating 3D bounding boxes from monocular images is an essential compo...
Federated learning is a privacy-preserving machine learning technique th...
In this paper, we propose a general and efficient pre-training paradigm,...
Neural Architecture Search (NAS) achieves significant progress in many
c...
This paper presents a review of the 2018 WIDER Challenge on Face and
Ped...