HyperAI超神経
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HyperAI超神経

Video Salient Object Detection On Davis 2016

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
RCRNet+NER0.0280.8590.884Semi-Supervised Video Salient Object Detection Using Pseudo-Labels
SAGM0.105-0.664Saliency-Aware Geodesic Video Object Segmentation-
UFO0.0150.9060.918A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection
MSTM0.174-0.566Real-Time Salient Object Detection With a Minimum Spanning Tree
MB+M0.173-0.600Minimum Barrier Salient Object Detection at 80 FPS-
TIMP0.185-0.574Time-Mapping Using Space-Time Saliency-
MBNM0.0310.8620.887Unsupervised Video Object Segmentation with Motion-based Bilateral Networks-
FGRN0.0430.7830.838Flow Guided Recurrent Neural Encoder for Video Salient Object Detection-
RealFlow0.0100.9390.945Transforming Static Images Using Generative Models for Video Salient Object Detection
PDB0.028-0.882Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection-
SSAV0.0280.8610.893Shifting More Attention to Video Salient Object Detection
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