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Found 8 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.
Non-contact Pain Recognition from Video Sequences with Remote Physiological Measurements Prediction
The framework is able to capture both local and long-range dependencies via the proposed attention mechanism for the learned appearance representations, which are further enriched by temporally attended physiological cues (remote photoplethysmography, rPPG) that are recovered from videos in the auxiliary task.
Non-contact PPG Signal and Heart Rate Estimation with Multi-hierarchical Convolutional Network
Heartbeat rhythm and heart rate (HR) are important physiological parameters of the human body.
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.
Automatic Image Labelling at Pixel Level
A Guided Filter Network (GFN) is first developed to learn the segmentation knowledge from a source domain, and such GFN then transfers such segmentation knowledge to generate coarse object masks in the target domain.
Super-Resolved Image Perceptual Quality Improvement via Multi-Feature Discriminators
However, the GAN-based SR methods only use image discriminator to distinguish SR images and high-resolution (HR) images.
Unsupervised Deep Hashing for Large-scale Visual Search
Learning based hashing plays a pivotal role in large-scale visual search.
