2 papers
cs.CV2022
Multi-resolution Monocular Depth Map Fusion by Self-supervised Gradient-based Composition
Yaqiao Dai, Renjiao Yi, Chenyang Zhu +2
Monocular depth estimation is a challenging problem on which deep neural networks have demonstrated great potential. However, depth maps predicted by existing deep models usually l…
eess.IV2022
Wound Segmentation with Dynamic Illumination Correction and Dual-view Semantic Fusion
Honghui Liu, Changjian Wang, Kele Xu +4
Wound image segmentation is a critical component for the clinical diagnosis and in-time treatment of wounds. Recently, deep learning has become the mainstream methodology for wound…