waterdisappear/ATRNet-STAR

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The declared licence (cc-by-sa-4.0) is classified as share-alike.

Declared licence: cc-by-sa-4.0, from the tagEvidence: README.md at 1765086
Licence files: No licence file at the top level of the repositoryEvidence: file list at 1765086
Declared sources: None listed in the card metadata
Access gated on Hugging Face: Yes

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Citation text from the card

@ARTICLE{liu2026atrnet,
  author={Liu, Yongxiang and Li, Weijie and Liu, Li and Zhou, Jie and Peng, Bowen and Song, Yafei and Xiong, Xuying and Yang, Wei and Liu, Tianpeng and Liu, Zhen and Li, Xiang},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
  title={ATRNet-STAR: A Large Dataset and Benchmark Toward Remote Sensing Object Recognition in the Wild}, 
  year={2026},
  volume={48},
  number={6},
  pages={6735-6753},
  doi={10.1109/TPAMI.2026.3658649}}


@ARTICLE{li2025saratr,
  author={Li, Weijie and Yang, Wei and Hou, Yuenan and Liu, Li and Liu, Yongxiang and Li, Xiang},
  journal={IEEE Transactions on Image Processing}, 
  title={SARATR-X: Toward Building a Foundation Model for SAR Target Recognition}, 
  year={2025},
  volume={34},
  number={},
  pages={869-884},
  doi={10.1109/TIP.2025.3531988}}

@ARTICLE{li2024predicting,
  title = {Predicting gradient is better: Exploring self-supervised learning for SAR ATR with a joint-embedding predictive architecture},
  journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
  volume = {218},
  pages = {326-338},
  year = {2024},
  issn = {0924-2716},
  doi = {https://doi.org/10.1016/j.isprsjprs.2024.09.013},
  url = {https://www.sciencedirect.com/science/article/pii/S0924271624003514},
  author = {Li, Weijie and Yang, Wei and Liu, Tianpeng and Hou, Yuenan and Li, Yuxuan and Liu, Zhen and Liu, Yongxiang and Liu, Li}}

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dataset_licence({ "id": "waterdisappear/ATRNet-STAR" })
signal: "permissive"
stated_licence: "cc-by-sa-4.0"
sources: 0