Salient Objects in Clutter
SOC (Salient Objects in Clutter) is a dataset for Salient Object Detection (SOD). It includes images with salient and non-salient objects from daily object categories. Beyond object category annotations, each salient image is accompanied by attributes that reflect common challenges in real-world scenes.
Variants: SOC
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| RGB Salient Object Detection | UCNet-CVAE | Uncertainty Inspired RGB-D Saliency Detection | 2020-09-07 |
| RGB Salient Object Detection | UCNet-APB | Uncertainty Inspired RGB-D Saliency Detection | 2020-09-07 |
| RGB Salient Object Detection | PiCANet | PiCANet: Learning Pixel-wise Contextual Attention … | 2017-08-21 |
Recent papers with results on this dataset: