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المنصة
الرئيسية
SOTA
كشف الكائنات البارزة في صورة RGB
Salient Object Detection On Duts Te
Salient Object Detection On Duts Te
المقاييس
MAE
S-Measure
max F-measure
mean E-Measure
mean F-Measure
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
MAE
S-Measure
max F-measure
mean E-Measure
mean F-Measure
Paper Title
UCF
0.116
-
0.771
-
-
Learning Uncertain Convolutional Features for Accurate Saliency Detection
DCL
0.081
-
0.786
-
-
Deep Contrast Learning for Salient Object Detection
Amulet
0.075
-
0.773
-
-
Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection
DHS
0.065
-
0.815
-
-
DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection
DSS
0.065
-
0.813
-
-
Deeply supervised salient object detection with short connections
NLDF
0.065
-
0.816
-
-
Non-Local Deep Features for Salient Object Detection
MSR
0.062
-
0.824
-
-
Instance-Level Salient Object Segmentation
SRM
0.058
-
0.826
-
-
A Stagewise Refinement Model for Detecting Salient Objects in Images
PAGR
0.055
-
0.854
-
-
Progressive Attention Guided Recurrent Network for Salient Object Detection
PiCANet
0.050
0.842
0.863
0.853
0.757
PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection
HybridSOD
0.05
0.837
-
-
-
A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels
DGRL
0.049
0.846
0.828
0.887
0.790
Detect Globally, Refine Locally: A Novel Approach to Saliency Detection
CFDN
0.048
0.871
0.859
-
-
Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss
BASNet
0.047
0.876
-
0.896
0.823
BASNet: Boundary-Aware Salient Object Detection
M3Net-R
0.036
0.897
-
-
-
M$^3$Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection
PoolNet (VGG-16)
0.036
-
0.892
-
-
A Simple Pooling-Based Design for Real-Time Salient Object Detection
TRACER-(ResNet50)
0.035
-
-
-
-
TRACER: Extreme Attention Guided Salient Object Tracing Network
UCNet-CVAE
0.034
0.888
-
0.927
0.860
Uncertainty Inspired RGB-D Saliency Detection
CPDR-L
0.034
-
-
0.931
0.853
CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement
UCNet-ABP
0.034
0.890
-
0.931
0.864
Uncertainty Inspired RGB-D Saliency Detection
0 of 31 row(s) selected.
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