Unsupervised Video Object Segmentation with Motion-based Bilateral Networks

Benchmark Model Rank Results
video-salient-object-detection-on-davis-2016MBNMS-Measure: 0.887MAX E-MEASURE: 0.966MAX F-MEASURE: 0.862
video-salient-object-detection-on-davsodMBNMS-Measure: 0.646max F-Measure: 0.506Average MAE: 0.109
video-salient-object-detection-on-davsod-1MBNMS-Measure: 0.597max E-measure: 0.665Average MAE: 0.127
video-salient-object-detection-on-fbms-59MBNMS-Measure: 0.857MAX E-MEASURE: 0.892MAX F-MEASURE: 0.816
video-salient-object-detection-on-mclMBNMS-Measure: 0.755MAX E-MEASURE: 0.858MAX F-MEASURE: 0.698
video-salient-object-detection-on-segtrack-v2MBNMS-Measure: 0.809max E-measure: 0.878MAX F-MEASURE: 0.716
video-salient-object-detection-on-uvsdMBNMS-Measure: 0.698max E-measure: 0.776Average MAE: 0.079
video-salient-object-detection-on-visalMBNMS-Measure: 0.857max E-measure: 0.892Average MAE: 0.047
video-salient-object-detection-on-vos-tMBNMS-Measure: 0.742max E-measure: 0.797Average MAE: 0.099