SC-ImageNet

September 28, 2023 ยท View on GitHub

This is a publicly available dataset associated with our paper 'Weakly Supervised Learning of Semantic Correspondence through Cascaded Online Correspondence Refinement'.

Agreement

  • The SC-ImageNet dataset is available solely for non-commercial research purposes.
  • All images in the SC-ImageNet dataset are sourced from the ImageNet dataset and are not the property of the School of Computer Science, Fudan University. Our group is neither responsible for the content nor the meaning of these images.
  • You agree not to reproduce, duplicate, copy, sell, trade, resell, or exploit any part of the images or any derivative data, including but not limited to annotations and cropped image parts, for any commercial purposes.
  • You agree not to further copy, publish, or distribute any portion of the SC-ImageNet dataset. However, for internal use at a single site within the same organization, it is permissible to make copies of our dataset.
  • Our group reserves the right to terminate your access to the SC-ImageNet dataset at any time.

Please send an email to yiwenhuang21@m.fudan.edu.cn with a signed agreement before gaining access to this dataset.

Usage

cat SC-IMAGENET.tar.gz.part.* > SC-IMAGENET.tar.gz

Cite

@InProceedings{Huang_2023_ICCV,
    author    = {Huang, Yiwen and Sun, Yixuan and Lai, Chenghang and Xu, Qing and Wang, Xiaomei and Shen, Xuli and Ge, Weifeng},
    title     = {Weakly Supervised Learning of Semantic Correspondence through Cascaded Online Correspondence Refinement},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2023},
    pages     = {16254-16263}
}