Saliency-Aware Geodesic Video Object Segmentation

Benchmark Model Rank Results
video-salient-object-detection-on-davis-2016SAGM–S-Measure: 0.664MAX E-MEASURE: 0.797AVERAGE MAE: 0.105
video-salient-object-detection-on-davsod-difficult20SAGM–S-Measure: 0.560max E-measure: 0.697Average MAE: 0.161
video-salient-object-detection-on-davsod-easy35SAGM–S-Measure: 0.564Average MAE: 0.187max E-Measure: 0.640
video-salient-object-detection-on-davsod-normal25SAGM–S-Measure: 0.543max E-measure: 0.616Average MAE: 0.198
video-salient-object-detection-on-fbms-59SAGM–S-Measure: 0.659MAX F-MEASURE: 0.564AVERAGE MAE: 0.161
video-salient-object-detection-on-mclSAGM–S-Measure: 0.615MAX E-MEASURE: 0.745AVERAGE MAE: 0.136
video-salient-object-detection-on-segtrack-v2SAGM–S-Measure: 0.719max E-measure: 0.826AVERAGE MAE: 0.081
video-salient-object-detection-on-uvsdSAGM–S-Measure: 0.629max E-measure: 0.755Average MAE: 0.111
video-salient-object-detection-on-visalSAGM–S-Measure: 0.749max E-measure: 0.858Average MAE: 0.105
video-salient-object-detection-on-vos-tSAGM–S-Measure: 0.615max E-measure: 0.664Average MAE: 0.172