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I would like to understand reasons for different image datasets used for salient object detection: their difficulties, their origins and likely future datasets. Does there exist any work explaining them such their progression and characteristics over time?

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Datasets explicitly mentioning saliency

  1. MSRA
  2. SOD based on BSD Berkeley segmentation dataset

Apparently more general datasets (not researched in detail)

  1. DUT-Omron Image dataset
  2. THUS
  3. ECSD
  4. PASCAL
  5. ...

More challenging situations with more noise

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