SSL-Net

SSL-Net implementation

Pytorch implementation of SSL-Net

Requirements

Please use Python 3.6, opencv-contrib-python (3.4.0.12) and Pytorch (>= 1.1.0). Other dependencies should be easily installed through pip or conda.

Explanation

If you need YFCC100M and SUN3D datasets, You can visit the code at https://github.com/zjhthu/OANet.git. We will upload the main code on 'core' folder.

Citing SSL-Net

If you find the SSL-Net code useful, please consider citing:

@article{chen2024sslnet,
  author    = {Shunxing Chen, Guobao Xiao*, Ziwei Shi, Junwen Guo, Jiayi Ma},
  title     = {SSL-Net: Sparse semantic learning for identifying reliable correspondences},
  booktitle = {Pattern Recognition (PR)},
  year      = {2024},
  volume= {46},
  pages     = {110039}
}