深度学习服装分类毕业设计参考文献：国外研究

以下是一些关于深度学习在服装分类方面的国外参考文献：

1. Simonyan, K., & Zisserman, A. (2014). Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556.

2. Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012). ImageNet classification with deep convolutional neural networks. In Advances in neural information processing systems (pp. 1097-1105).

3. He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 770-778).

4. Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S., Fu, C. Y., & Berg, A. C. (2016). SSD: Single shot multibox detector. In European conference on computer vision (pp. 21-37). Springer, Cham.

5. Lin, T. Y., Goyal, P., Girshick, R., He, K., & Dollár, P. (2017). Focal loss for dense object detection. In Proceedings of the IEEE international conference on computer vision (pp. 2980-2988).

6. Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2016). You only look once: Unified, real-time object detection. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 779-788).

7. Liu, W., Rabinovich, A., & Berg, A. C. (2016). Parsenet: Looking wider to see better. arXiv preprint arXiv:1506.04579.

8. Zhao, H., Shi, J., Qi, X., Wang, X., & Jia, J. (2017). Pyramid scene parsing network. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 2881-2890).

9. Yang, S., Li, X., Loy, C. C., & Lin, D. (2018). Learning human-object interactions by graph parsing neural networks. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 8339-8348).

10. Xiao, F., Lee, Y. J., & Ming, F. (2015). Fashion parsing with weak color-category labels. In Proceedings of the IEEE international conference on computer vision (pp. 3992-4000).

这些文献涵盖了深度学习在服装分类方面的各个方面，可以作为参考进行毕业设计。请注意，这些文献都是国外的研究，如果你需要中文参考文献，可以在中国知网或其他中文学术数据库中进行搜索。