RGB Salient Object Detection
RGB Salient object detection is a task-based on a visual attention mechanism, in which algorithms aim to explore objects or regions more attentive than the surrounding areas on the scene or RGB images.
( Image credit: Attentive Feedback Network for Boundary-Aware Salient Object Detection )
Papers
Showing 1–10 of 222 papers
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | PiCANet | Average MAE | 0.13 | — | Unverified |
| 2 | AFNet | Average MAE | 0.12 | — | Unverified |
| 3 | NLDF | Average MAE | 0.11 | — | Unverified |
| 4 | SCRN | Average MAE | 0.1 | — | Unverified |
| 5 | BASNet | Average MAE | 0.09 | — | Unverified |
| 6 | UCNet-APB | Average MAE | 0.09 | — | Unverified |
| 7 | UCNet-CVAE | Average MAE | 0.09 | — | Unverified |