[1] K Yang, F Liu, SY Liang et al. Data-driven polarimetric imaging: a review. Opto-Electron Sci, 3, 230042(2024).
[2] HF Hu, YB Zhang, XB Li et al. Polarimetric underwater image recovery via deep learning. Opt Lasers Eng, 133, 106152(2020).
[3] HD Liu, YZ Zhang, ZZ Cheng et al. Attention-based neural network for polarimetric image denoising. Opt Lett, 47, 2726-2729(2022).
[4] JC Zhang, JB Shao, HB Luo et al. Learning a convolutional demosaicing network for microgrid polarimeter imagery. Opt Lett, 43, 4534-4537(2018).
[5] XS Wu, H Zhang, XP Hu et al. HDR reconstruction based on the polarization camera. IEEE Robot Autom Lett, 5, 5113-5119(2020).
[7] HF Hu, Y Lin, XB Li et al. IPLNet: a neural network for intensity-polarization imaging in low light. Opt Lett, 45, 6162-6165(2020).
[10] Y Shen, WF Lin, ZF Wang et al. Rapid detection of camouflaged artificial target based on polarization imaging and deep learning. IEEE Photonics J, 13, 7800309(2021).
[11] XP Li, R Liao, JL Zhou et al. Classification of morphologically similar algae and cyanobacteria using Mueller matrix imaging and convolutional neural networks. Appl Opt, 56, 6520-6530(2017).
[12] YH Wang, DC Louie, JY Cai et al. Deep learning enhances polarization speckle for in vivo skin cancer detection. Opt Laser Technol, 140, 107006(2021).