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SOTA
RGB-Salienter-Objekt-Erkennung
Salient Object Detection On Hku Is
Salient Object Detection On Hku Is
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MAE
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
MAE
Paper Title
Repository
TRACER-(ResNet50)
0.028
TRACER: Extreme Attention Guided Salient Object Tracing Network
-
CPD-R (ResNet50)
0.034
Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
-
TRACER-TE7
0.020
TRACER: Extreme Attention Guided Salient Object Tracing Network
-
M3Net-S
0.019
M$^3$Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection
-
UCNet-CVAE
0.026
Uncertainty Inspired RGB-D Saliency Detection
-
PoolNet (VGG-16)
0.03
A Simple Pooling-Based Design for Real-Time Salient Object Detection
-
C4Net
0.025
C$^{4}$Net: Contextual Compression and Complementary Combination Network for Salient Object Detection
-
DSS (Res2Net-50)
0.05
Res2Net: A New Multi-scale Backbone Architecture
-
BASNet
0.032
BASNet: Boundary-Aware Salient Object Detection
-
UCNet-ABP
0.027
Uncertainty Inspired RGB-D Saliency Detection
-
InSPyReNet
0.028
Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
-
CPDR-L
0.028
CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement
-
M3Net-R
0.026
M$^3$Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection
-
HybridSOD
0.038
A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels
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