Towards generalization on real domain for single image dehazing via meta-learning

Author:

Ren Wenqi,Sun Qiyu,Zhao Chaoqiang,Tang Yang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference68 articles.

1. DehazeNet: An end-to-end system for single image haze removal;Cai;IEEE Transactions on Image Processing,2016

2. Meta-learning regrasping strategies for physical-agnostic objects;Chen,2022

3. Chen, T., Kornblith, S., Norouzi, M., & Hinton, G. (2020). A simple framework for contrastive learning of visual representations. In Proceedings of the international conference on machine learning (pp. 1597–1607).

4. Chen, Z., Wang, Y., Yang, Y., & Liu, D. (2021). PSD: Principled synthetic-to-real dehazing guided by physical priors. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 7180–7189).

5. Chi, Z., Wang, Y., Yu, Y., & Tang, J. (2021). Test-time fast adaptation for dynamic scene deblurring via meta-auxiliary learning. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 9137–9146).

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