Revisiting Image Pyramid Structure for High Resolution Salient Object Detection. (arXiv:2209.09475v2 [cs.CV] UPDATED)

Salient object detection (SOD) has been in the spotlight recently, yet has
been studied less for high-resolution (HR) images. Unfortunately, HR images and
their pixel-level annotations are certainly more labor-intensive and
time-consuming compared to low-resolution (LR) images and annotations.
Therefore, we propose an image pyramid-based SOD framework, Inverse Saliency
Pyramid Reconstruction Network (InSPyReNet), for HR prediction without any of
HR datasets. We design InSPyReNet to produce a strict image pyramid structure
of saliency map, which enables to ensemble multiple results …

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