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SOTA
二分图像分割
Dichotomous Image Segmentation On Dis Te3
Dichotomous Image Segmentation On Dis Te3
评估指标
E-measure
HCE
MAE
S-Measure
max F-Measure
weighted F-measure
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
E-measure
HCE
MAE
S-Measure
max F-Measure
weighted F-measure
Paper Title
Repository
BSV1
0.801
1146
0.109
0.757
0.710
0.595
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
GCPANet
0.801
1058
0.109
0.748
0.699
0.590
Global Context-Aware Progressive Aggregation Network for Salient Object Detection
GateNet
0.815
972
0.103
0.747
0.726
0.620
Suppress and Balance: A Simple Gated Network for Salient Object Detection
DeeplabV3+
0.833
999
0.102
0.749
0.717
0.623
Rethinking Atrous Convolution for Semantic Image Segmentation
UNet
-
883
0.098
-
0.748
0.644
U-Net: Convolutional Networks for Biomedical Image Segmentation
SINetV2
0.849
1096
0.096
0.766
0.730
0.641
Concealed Object Detection
F3Net
0.848
1059
0.092
0.773
0.743
0.656
F3Net: Fusion, Feedback and Focus for Salient Object Detection
PSPNet
0.843
1111
0.092
0.774
0.747
0.657
Pyramid Scene Parsing Network
PFNet
0.854
1082
0.092
0.777
0.751
0.664
Camouflaged Object Segmentation with Distraction Mining
ICNet
0.852
1001
0.091
0.780
0.752
0.664
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
STDC
0.855
1081
0.090
0.771
0.745
0.662
Rethinking BiSeNet For Real-time Semantic Segmentation
BASNet
0.856
948
0.083
0.798
0.785
0.696
BASNet: Boundary-Aware Salient Object Detection
-
HRNet
0.869
1049
0.080
0.805
0.784
0.700
Deep High-Resolution Representation Learning for Visual Recognition
U2Net
0.858
965
0.079
0.809
0.798
0.707
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
HySM
0.857
887
0.079
0.811
0.792
0.701
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation
MBV3
0.880
1136
0.078
0.764
0.772
0.702
Searching for MobileNetV3
IS-Net
0.883
687
0.064
0.836
0.830
0.758
Highly Accurate Dichotomous Image Segmentation
InSPyReNet
0.938
582
0.038
0.902
0.904
0.856
Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
InSPyReNet (HR scale)
0.938
522
0.034
0.918
0.919
0.871
Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
MVANet
0.954
525
0.031
0.920
0.929
0.890
Multi-view Aggregation Network for Dichotomous Image Segmentation
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