然后利用分割预测网络(SP-Net)对I_0和S_0进行分割预测得到S_R。最后将S_R传递到分割引导网络(SG-Net)作为输入,对最终结果进行预测。 3.1 Segmentation Prediction Network (SP-Net) 网络架构: SP-Net的目标是在缺失的洞中预测分割标签映射。SP-Net的生成器基于FCN,但用残块代替了膨胀卷积层。用渐进式扩张因子...
Our model factorizes the image inpainting process into segmentation prediction (SP-Net) and segmentation guidance (SG-Net) as two steps, which predict the segmentation labels in the missing area first, and then generate segmentation guided inpainting results. Experiments on multiple public datasets ...
We propose a method SPGNet for 3D human pose estimation that mixes multi-dimensional re-projection into supervised learning. In this method, the 2D-to-3D-lifting network predicts the global position and coordinates of the 3D human pose. Then, we re-project the estimated 3D pose back to the...
git clone https://github.com/cszy98/SPGNet.git. cd SPGNet Prerequisites - python3.7 - pytorch1.2.0 + torchvision0.4.0 - numpy - opencv - tqdm Create environment and install dependencies: # 1. Create a conda virtual environment. conda create -n spgnet python=3.7 anaconda source activate...
SPG, serving as the only gateway to the Yellow River basin, managed more than 1.7 billion metric tons of cargo in 2023. However, limited intermodal experience at some inland ports along the basin has led to manual-heavy operations, significantly impacting the logistics efficiency of inbound and...
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Learning Semantic Person Image Generation by Region-Adaptive Normalization (CVPR2021) - fix typos by Ha0Tang · Pull Request #3 · cszy98/SPGNet
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