UR-Net: An Optimized U-Net for Color Painting Segmentation
The pigments of cultural color paintings have faded with the passage of time. Color segmentations are essential for digital color reconstruction, but the complexity of color paintings makes it challenging to achieve high-precision segmentation using previous methods. To address the challenges of col...
Saved in:
| Main Authors: | Zhen Liu, Shuo Fan, Silu Liu, Li Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/14/21/10005 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Performance and Efficiency Comparison of U-Net and Ghost U-Net in Road Crack Segmentation with Floating Point and Quantization Optimization
by: Haidhi Angkawijana Tedja, et al.
Published: (2024-12-01) -
Ensemble Learning for Three-dimensional Medical Image Segmentation of Organ at Risk in Brachytherapy Using Double U-Net, Bi-directional ConvLSTM U-Net, and Transformer Network
by: Soniya Pal, et al.
Published: (2024-12-01) -
Determination Model of Epidermal Wettability for Apple Rootstock Cutting Based on the Improved U-Net
by: Xu Wang, et al.
Published: (2024-12-01) -
AFN-Net: Adaptive Fusion Nucleus Segmentation Network Based on Multi-Level U-Net
by: Ming Zhao, et al.
Published: (2025-01-01) -
A 3D Dual Encoder Mirror Difference ResU-Net for Multimodal Brain Tumor Segmentation
by: Qiwei Xing, et al.
Published: (2025-01-01)