SIM2E: Benchmarking the Group Equivariant Capability of Correspondence Matching Algorithms

Su et al. "SIM2E: Benchmarking the Group Equivariant Capability of Correspondence Matching Algorithms." European Conference on Computer Vision Workshops, 2022. doi:10.1007/978-3-031-25056-9_47

[Su et al. "SIM2E: Benchmarking the Group Equivariant Capability of Correspondence Matching Algorithms." European Conference on Computer Vision Workshops, 2022.](https://mlanthology.org/eccvw/2022/su2022eccvw-sim2e/) doi:10.1007/978-3-031-25056-9_47

@inproceedings{su2022eccvw-sim2e,
  title     = {{SIM2E: Benchmarking the Group Equivariant Capability of Correspondence Matching Algorithms}},
  author    = {Su, Shuai and Zhao, Zhongkai and Fei, Yixin and Li, Shuda and Chen, Qijun and Fan, Rui},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2022},
  pages     = {743-759},
  doi       = {10.1007/978-3-031-25056-9_47},
  url       = {https://mlanthology.org/eccvw/2022/su2022eccvw-sim2e/}
}