MDANet: Multi-Modal Deep Aggregation Network for Depth Completion
Yanjie Ke Kun Li Wei Yang Zhenbo Xu Dayang Hao Liusheng Huang Gang Wang Yanjie Ke Kun Li Wei Yang Zhenbo Xu Dayang Hao Liusheng Huang Gang Wang
Depth completion aims to recover the dense depth map from sparse depth data and RGB image respectively. However, due to the huge difference between the multi-modal signal input, vanilla convolutional neural network and simple fusion strategy cannot extract features from sparse data and aggregate multi-modal information effectively. To tackle this problem, we design a novel network architecture tha...