Image Caption Generation for Low Light Images
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-20977-2_5
Reference11 articles.
1. Wang, W., Wu, X., Yuan, X., Gao, Z.: An experiment-based review of low-light image enhancement methods. IEEE Access 8, 87884–87917 (2020). https://doi.org/10.1109/ACCESS.2020.2992749
2. Gu, Z., Chen, C., Zhang, D.-Y.: A low-light image enhancement method based on image degradation model and pure pixel ratio prior. Math. Probl. Eng. 2018, 1–19 (2018). https://doi.org/10.1155/2018/8178109
3. Fu, X., Zeng, D., Huang, Y., Liao, Y., Ding, X., Paisley, J.W.: A fusion-based enhancing method for weakly illuminated images. Signal Process. 129, 82–96 (2016)
4. Wu, X., Sahoo, D., Hoi, S.C.H.: Recent advances in deep learning for object detection. Neurocomputing 396, 39–64 (2020)
5. Feng, Y., Ma, L., Liu, W., Luo, J.: Unsupervised image captioning. In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), p. 41204129 (2019). https://doi.org/10.1109/CVPR.2019.00425
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