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SpikeDeOcclusion

Codes and Datasets of "Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera".

Jiyuan Zhang, Shiyan Chen, Yajing Zheng $\dagger$, Zhaofei Yu $\dagger$ and Tiejun Huang

Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024) .


Code for WGSE

  • Key Requirements of the Code Environment

    • Pytorch > 1.7.0
    • scikit-image
    • einops
  • Train The code will be available soon.

  • Test The code will be available soon.

The New Dataset S-OCC

In this work, we propose a real dataset "S-OCC" for occlusion removal from spikes. The spike data and ground truth data is available and you can download them at https://pan.baidu.com/s/1pc-HGNBkSKdAdTh1hvtrZg with the password p2q4.

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