We also evaluate 3DG-STFM on a model compression task. To the best of our knowledge, 3DG-STFM is the first student-teacher learning method for the local feature matching task. The experiments show that our method outperforms state-of-the-art methods on indoor and outdoor camera pose ...
3DG-STFM学生模型在同质图估计任务上得到了很好的推广,并与图3.3.1所示的无检测器方法相比实现了最佳性能。在AUC@10px处,基于Superpoint和Superglue的方法表现的比文中的方法更好。然而,3DG-STFM学生模型在其他两个严格指标下表现出更精确的性能。 在AUC@10px处,基于Superpoint和Superglue的方法表现的比文中的方法更...
3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching Requirements Enviroment setup: conda env create -f environment.yaml conda activate stfm pip install torch einops yacs kornia Get Started We provide training and test code for both indoor and outdoor datasets. The code scripts include tr...