Salient Object Detection On Pascal S

Métriques

F-measure

MAE

Résultats

Résultats de performance de divers modèles sur ce benchmark

			Paper Title
DSS (Res2Net-50)	0.841	0.099	Res2Net: A New Multi-scale Backbone Architecture
HybridSOD	-	0.076	A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels
BASNet	-	0.076	BASNet: Boundary-Aware Salient Object Detection
BMPM	-	0.074	A Bi-Directional Message Passing Model for Salient Object Detection
CPD-R (ResNet50)	0.824	0.072	Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
PoolNet (VGG-16)	0.88	0.065	A Simple Pooling-Based Design for Real-Time Salient Object Detection
CPDR-L	-	0.061	CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement
M3Net-R	-	0.06	M$^3$Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection
C4Net	-	0.055	C$^{4}$Net: Contextual Compression and Complementary Combination Network for Salient Object Detection
InSPyReNet	0.893	0.048	Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
TRACER-TE7	0.909	0.047	TRACER: Extreme Attention Guided Salient Object Tracing Network
M3Net-S	-	0.047	M$^3$Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection
CFDN	0.891	0.039	Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss

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Salient Object Detection On Pascal S | SOTA | HyperAI