… Learning joint 2D-3D representations for depth completion[C]//Proceedings of the IEEE/CVF
International Conference on Computer Vision,2019:10023-10032. [11] XIONG X,XIONG H,…

… with 2D-3D for projection, voxel, multi-view and point cloud in the future. Key words:computer
vision; intelligent packaging; deep learning; … Visual representation of deep learning-based …

… However, while these methods have various architectures, in-depth analysis and comparisons
… based on deep learning. First, based on different deep learning model architectures, we …

… different representations of 360 images to facilitate the use of the newest deep learning …
We recommend readers to refer to [79] for a complete survey on the 360 video perception …

… deep learning, with huge theoretical significance and application value. This article systematically
reviews the research of disentangled representation learning… -based 2D-3D alignment …

… research progress of using deep learning to reconstruct the … as the context, according to the
data feature representation in the … Learning 3D shape completion from laser scan data with …

… from a large amount of data to obtain effective feature representations, thereby effectively …
of deep learning in the field of medical imaging. This paper summarizes the deep learning …

… based on optimized visual hull and deep learning, discusses the principle and different … the
RGB-D depth completion and multiview reconstruction based on deep learning, presents the …

… regression networks and depth completion networks. The … fusion of 2D image retrieval and
2D-3D matching. SLAM algorithms are … , including deep 3D representation learning, deep 3D …

… , which combines methods of deep learning in combination with … Recent advances in a deep
learning require a large amount … depth perception allows a robot to create representations of …