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Salient Object Detection On Duts Te

Metrics

MAE
S-Measure
max F-measure
mean E-Measure
mean F-Measure

Results

Performance results of various models on this benchmark

Paper TitleRepository
UCF0.116-0.771--Learning Uncertain Convolutional Features for Accurate Saliency Detection
DCL0.081-0.786--Deep Contrast Learning for Salient Object Detection-
Amulet0.075-0.773--Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection
DHS0.065-0.815--DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection-
DSS0.065-0.813--Deeply supervised salient object detection with short connections
NLDF0.065-0.816--Non-Local Deep Features for Salient Object Detection-
MSR0.062-0.824--Instance-Level Salient Object Segmentation-
SRM0.058-0.826--A Stagewise Refinement Model for Detecting Salient Objects in Images-
PAGR0.055-0.854--Progressive Attention Guided Recurrent Network for Salient Object Detection-
PiCANet0.0500.8420.8630.8530.757PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection
HybridSOD0.050.837---A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels
DGRL0.0490.8460.8280.8870.790Detect Globally, Refine Locally: A Novel Approach to Saliency Detection-
CFDN0.0480.8710.859--Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss-
BASNet0.0470.876-0.8960.823BASNet: Boundary-Aware Salient Object Detection-
M3Net-R0.0360.897---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-CVAE0.0340.888-0.9270.860Uncertainty Inspired RGB-D Saliency Detection
CPDR-L0.034--0.9310.853CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement-
UCNet-ABP0.0340.890-0.9310.864Uncertainty Inspired RGB-D Saliency Detection
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Salient Object Detection On Duts Te | SOTA | HyperAI