UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders

Benchmark Model Rank Results
rgb-d-salient-object-detection-on-desUC-Net#8S-Measure: 93.4Average MAE: 0.019
rgb-d-salient-object-detection-on-lfsdUC-Net#4S-Measure: 86.4Average MAE: 0.066
rgb-d-salient-object-detection-on-nju2kUC-Net#17S-Measure: 89.7Average MAE: 0.043
rgb-d-salient-object-detection-on-nlprUC-Net#9S-Measure: 92.0Average MAE: 0.025
rgb-d-salient-object-detection-on-sipUC-Net#12S-Measure: 87.5Average MAE: 0.051
rgb-d-salient-object-detection-on-stereUC-Net#11S-Measure: 90.3Average MAE: 0.039
thermal-image-segmentation-on-rgb-t-glassUCNet#14MAE: 0.071