Search Results for author:
Found 3 papers, 1 papers with code
When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs)
Recent advancements in machine learning could be a turning point in these issues, particularly with the development of deep learning (DL) techniques, which are helping to improve multiple computer vision problems through an abstract understanding of the input data.
3D non-rigid registration using color: Color Coherent Point Drift
Evaluation is performed using synthetic and real data.
A Review on Deep Learning Techniques Applied to Semantic Segmentation
This demand coincides with the rise of deep learning approaches in almost every field or application target related to computer vision, including semantic segmentation or scene understanding.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
