HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
RGB Salient Object Detection
Salient Object Detection On Dut Omron
Salient Object Detection On Dut Omron
Metrics
MAE
S-Measure
Results
Performance results of various models on this benchmark
Columns
Model Name
MAE
S-Measure
Paper Title
DSS (Res2Net-50)
0.071
-
Res2Net: A New Multi-scale Backbone Architecture
M3Net-R
0.061
0.848
M$^3$Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection
CPD-R (ResNet50)
0.056
-
Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
BASNet
0.056
-
BASNet: Boundary-Aware Salient Object Detection
PoolNet (VGG-16)
0.053
-
A Simple Pooling-Based Design for Real-Time Salient Object Detection
UCNet-CVAE
0.051
0.839
Uncertainty Inspired RGB-D Saliency Detection
UCNet-ABP
0.050
0.843
Uncertainty Inspired RGB-D Saliency Detection
TRACER-(ResNet50)
0.050
-
TRACER: Extreme Attention Guided Salient Object Tracing Network
CPDR-L
0.048
-
CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement
C4Net
0.047
-
C$^{4}$Net: Contextual Compression and Complementary Combination Network for Salient Object Detection
TRACER-TE7
0.045
0.855
TRACER: Extreme Attention Guided Salient Object Tracing Network
InSPyReNet
0.045
0.875
Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
M3Net-S
0.045
0.872
M$^3$Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection
BiRefNet (HRSOD, UHRSD)
0.040
0.864
Bilateral Reference for High-Resolution Dichotomous Image Segmentation
BiRefNet (DUTS, HRSOD)
0.040
0.868
Bilateral Reference for High-Resolution Dichotomous Image Segmentation
BiRefNet (DUTS)
0.040
0.868
Bilateral Reference for High-Resolution Dichotomous Image Segmentation
BiRefNet (DUTS, HRSOD, UHRSD)
0.038
0.882
Bilateral Reference for High-Resolution Dichotomous Image Segmentation
BiRefNet (DUTS, UHRSD)
0.036
0.881
Bilateral Reference for High-Resolution Dichotomous Image Segmentation
0 of 18 row(s) selected.
Previous
Next
Salient Object Detection On Dut Omron | SOTA | HyperAI