1.SIFT:Ng P C, Henikoff S. SIFT: Predicting amino acid changes that affect protein function[J]. Nucleic acids research, 2003, 31(13): 3812-3814.
2.SuperPoint:DeTone D, Malisiewicz T, Rabinovich A. Superpoint: Self-supervised interest point detection and description[C]//Proceedings of the IEEE conference on computer vision and pattern recognition workshops. 2018: 224-236.
3.SuperGlue:Sarlin P E, DeTone D, Malisiewicz T, et al. Superglue: Learning feature matching with graph neural networks[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2020: 4938-4947.
4.LofTR:Sun J, Shen Z, Wang Y, et al. LoFTR: Detector-free local feature matching with transformers[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021: 8922-8931.
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10.ManyDepth:Watson J,Aodha O M , Prisacariu V , et al. The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth. 2021.
11.NavNet:基于边缘计算的自动驾驶高精地图建图与定位方法,https://www.sohu.com/a/346486037_468661
12.https://zhuanlan.zhihu.com/p/373769242
13.https://cloud.tencent.com/developer/news/727279
14.http://colmap.github.io/tutorial.html
15.https://github.com/magicleap/SuperGluePretrainedNetwork
16.https://zju3dv.github.io/loftr/
17.https://github.com/nianticlabs/monodepth2
18.https://github.com/princeton-vl/DeepV2D
19.https://github.com/nianticlabs/manydepth
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