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Kechen Song(Associate professor)

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  • Supervisor of Doctorate Candidates  Supervisor of Master's Candidates
  • Name (English):Kechen Song
  • E-Mail:
  • Education Level:With Certificate of Graduation for Doctorate Study
  • Gender:Male
  • Degree:博士
  • Status:Employed
  • Alma Mater:东北大学
  • Teacher College:机械工程与自动化学院

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  • Variable Illumination RGB-T Dataset

A  Variable Illumination RGB-T Dataset: VI-RGBT1500

Some example images.jpg

(a)Images under sufficient illumination. (b) Images under uneven illumination. (c) Images under insufficient illumination.

VI-RGBT1500.jpg


A Variable Illumination Dataset: VI-RGBT1500

We propose a variable illumination dataset named VI-RGBT1500 for RGBT image SOD. This is the first time that different illuminations are taken into account in the construction of the RGBT SOD dataset. Three illumination conditions, which are sufficient illumination, uneven illumination and insufficient illumination, are adopted to collect 1500 pairs of RGBT images.

 Kechen Song, Liming Huang, et al.  Multiple Graph Affinity Interactive Network and A Variable Illumination Dataset for RGBT Image Salient Object Detection [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023.    (paper)(code & dataset)