references.bib

% 这是参考文献数据库文件
% 使用 BibTeX 格式管理所有引用

% ========== 示例论文引用 ==========

@article{example2023paper,
  title={Example Paper Title: A Comprehensive Study},
  author={Zhang, Wei and Li, Ming and Wang, Hua},
  journal={International Conference on Machine Learning (ICML)},
  year={2023},
  pages={1234--1245}
}

@inproceedings{smith2022method,
  title={An Innovative Method for Problem Solving},
  author={Smith, John and Johnson, Mary},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2022},
  pages={5678--5687}
}

@article{johnson2023approach,
  title={A Novel Approach to Challenging Tasks},
  author={Johnson, Robert and Davis, Sarah and Wilson, James},
  journal={Advances in Neural Information Processing Systems (NeurIPS)},
  volume={36},
  year={2023}
}

@inproceedings{author2020early,
  title={Early Explorations in the Field},
  author={Author, First and Author, Second},
  booktitle={European Conference on Computer Vision (ECCV)},
  year={2020},
  pages={100--115}
}

@article{author2021specific,
  title={Specific Method for Specific Problem},
  author={Author, Alice and Coauthor, Bob},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
  volume={43},
  number={8},
  pages={2567--2580},
  year={2021}
}

@inproceedings{recent2023work,
  title={Recent Advances in the Domain},
  author={Chen, Li and Liu, Yang and Zhang, Xin},
  booktitle={International Conference on Learning Representations (ICLR)},
  year={2023}
}

@article{baseline2022paper,
  title={Baseline Methods for Comparison},
  author={Williams, David and Brown, Emma},
  journal={arXiv preprint arXiv:2203.12345},
  year={2022}
}

@inproceedings{methodx2023,
  title={Method X: A Baseline Approach},
  author={Garcia, Maria and Martinez, Carlos},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={37},
  year={2023},
  pages={8901--8910}
}

@article{methody2022,
  title={Method Y for Enhanced Performance},
  author={Anderson, Peter and Taylor, Rachel},
  journal={Journal of Machine Learning Research (JMLR)},
  volume={23},
  pages={1--45},
  year={2022}
}

@inproceedings{work1,
  title={First Important Work in Related Area},
  author={Kim, Joon and Park, Min},
  booktitle={ACM International Conference on Multimedia},
  year={2022},
  pages={456--467}
}

@inproceedings{work2,
  title={Second Important Work Building Upon Previous},
  author={Lee, Sung and Choi, Young},
  booktitle={British Machine Vision Conference (BMVC)},
  year={2023}
}

@article{work3,
  title={Third Foundational Work},
  author={Nakamura, Hiroshi and Tanaka, Yuki},
  journal={Computer Vision and Image Understanding},
  volume={225},
  pages={103578},
  year={2023}
}

@inproceedings{close2023work,
  title={Work Most Similar to Ours},
  author={Mueller, Thomas and Schmidt, Anna},
  booktitle={Proceedings of CVPR},
  year={2023},
  pages={12345--12354}
}

@inproceedings{integration2023,
  title={Integration of Multiple Techniques},
  author={Rodriguez, Juan and Fernandez, Sofia},
  booktitle={International Joint Conference on Artificial Intelligence (IJCAI)},
  year={2023}
}

% ========== 数据集引用 ==========

@inproceedings{dataset1,
  title={Dataset 1: A Large-Scale Benchmark},
  author={Deng, Jia and Dong, Wei and Socher, Richard},
  booktitle={CVPR},
  year={2020}
}

@article{dataset2,
  title={Dataset 2: Challenging Real-World Data},
  author={Lin, Tsung-Yi and Maire, Michael and Belongie, Serge},
  journal={ECCV},
  year={2021}
}

@inproceedings{dataset3,
  title={Dataset 3: Specialized Task Dataset},
  author={Krishna, Ranjay and Zhu, Yuke and Groth, Oliver},
  booktitle={ICCV},
  year={2022}
}

% ========== 方法引用 ==========

@inproceedings{methoda,
  title={Method A: First Baseline Approach},
  author={White, Alice and Black, Bob},
  booktitle={NeurIPS},
  year={2021}
}

@article{methodb,
  title={Method B: Improved Baseline},
  author={Green, Charlie and Blue, Diana},
  journal={ICLR},
  year={2022}
}

@inproceedings{methodc,
  title={Method C: State-of-the-art Before Ours},
  author={Red, Edward and Yellow, Fiona},
  booktitle={CVPR},
  year={2023}
}

@article{methodd,
  title={Method D: Current Best Baseline},
  author={Purple, George and Orange, Hannah},
  journal={arXiv preprint arXiv:2304.56789},
  year={2023}
}

% ========== 优化器和工具引用 ==========

@article{kingma2014adam,
  title={Adam: A Method for Stochastic Optimization},
  author={Kingma, Diederik P and Ba, Jimmy},
  journal={arXiv preprint arXiv:1412.6980},
  year={2014}
}

% ========== 其他常用引用 ==========

@article{attention2017,
  title={Attention is All You Need},
  author={Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N and Kaiser, {\L}ukasz and Polosukhin, Illia},
  journal={Advances in neural information processing systems},
  volume={30},
  year={2017}
}

@inproceedings{resnet2016,
  title={Deep Residual Learning for Image Recognition},
  author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
  booktitle={CVPR},
  year={2016},
  pages={770--778}
}

@article{transformer2020,
  title={An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale},
  author={Dosovitskiy, Alexey and Beyer, Lucas and Kolesnikov, Alexander and Weissenborn, Dirk and Zhai, Xiaohua and Unterthiner, Thomas and Dehghani, Mostafa and Minderer, Matthias and Heigold, Georg and Gelly, Sylvain and others},
  journal={ICLR},
  year={2021}
}