HyperAI超神経
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HyperAI超神経

Video Salient Object Detection On Fbms 59

評価指標

AVERAGE MAE
MAX F-MEASURE
S-Measure

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
AVERAGE MAE
MAX F-MEASURE
S-Measure
Paper TitleRepository
SAGM0.1610.5640.659Saliency-Aware Geodesic Video Object Segmentation-
FGRN0.0880.7670.809Flow Guided Recurrent Neural Encoder for Video Salient Object Detection-
TIMP0.1920.4650.576Time-Mapping Using Space-Time Saliency-
SSAV0.0400.8650.879Shifting More Attention to Video Salient Object Detection
MBNM0.0470.8160.857Unsupervised Video Object Segmentation with Motion-based Bilateral Networks-
LTSI0.0870.7990.805--
SPD0.1250.6860.691--
RSE0.1280.6520.670--
UFO0.0280.8900.894A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection
MSTM0.1770.5000.613Real-Time Salient Object Detection With a Minimum Spanning Tree
SRP0.1340.6710.684--
RealFlow0.0280.9060.926Transforming Static Images Using Generative Models for Video Salient Object Detection
MB+M0.2060.4870.609Minimum Barrier Salient Object Detection at 80 FPS-
MESO0.1340.6180.635--
RCRNet+NER0.0540.8610.870Semi-Supervised Video Salient Object Detection Using Pseudo-Labels
PDB0.0640.8210.851Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection-
0 of 16 row(s) selected.