Search Results for author:
Found 3 papers, 1 papers with code
C3N：Content-Constrained Convolutional Network for Mural Image Completion
Our network also uses dual-domain partial convolution with a mask for computing on only valid points, whereas the mask is updated for the next layer.
Keypoint-Graph-Driven Learning Framework for Object Pose Estimation
Hence, we propose to use the domain-invariant geometry structure among keypoints as a "bridge" constraint to optimize DAKDN for 6D pose estimation across domains.
A relic sketch extraction framework based on detail-aware hierarchical deep network
For the fine extraction stage, we design a new multiscale U-Net (MSU-Net) to effectively remove disease noise and refine the sketch.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
