Saliency-Aware Geodesic Video Object Segmentation

Benchmark Model Rank Results
video-salient-object-detection-on-davis-2016SAGMS-Measure: 0.664MAX E-MEASURE: 0.797AVERAGE MAE: 0.105
video-salient-object-detection-on-davsodSAGMS-Measure: 0.564Average MAE: 0.187max E-Measure: 0.640
video-salient-object-detection-on-davsod-1SAGMS-Measure: 0.543max E-measure: 0.616Average MAE: 0.198
video-salient-object-detection-on-davsod-2SAGMS-Measure: 0.560max E-measure: 0.697Average MAE: 0.161
video-salient-object-detection-on-fbms-59SAGMS-Measure: 0.659MAX F-MEASURE: 0.564AVERAGE MAE: 0.161
video-salient-object-detection-on-mclSAGMS-Measure: 0.615MAX E-MEASURE: 0.745AVERAGE MAE: 0.136
video-salient-object-detection-on-segtrack-v2SAGMS-Measure: 0.719max E-measure: 0.826AVERAGE MAE: 0.081
video-salient-object-detection-on-uvsdSAGMS-Measure: 0.629max E-measure: 0.755Average MAE: 0.111
video-salient-object-detection-on-visalSAGMS-Measure: 0.749max E-measure: 0.858Average MAE: 0.105
video-salient-object-detection-on-vos-tSAGMS-Measure: 0.615max E-measure: 0.664Average MAE: 0.172