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SOTA
二分图像分割
Dichotomous Image Segmentation On Dis Vd
Dichotomous Image Segmentation On Dis Vd
评估指标
E-measure
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
MAE
S-Measure
max F-Measure
weighted F-measure
Paper Title
Repository
BEN_Base+Refiner
0.958
0.027
0.917
0.919
0.896
BEN: Using Confidence-Guided Matting for Dichotomous Image Segmentation
BEN_Base
0.935
0.031
0.916
0.923
0.871
BEN: Using Confidence-Guided Matting for Dichotomous Image Segmentation
PDFNet
0.944
0.030
0.916
0.913
0.873
Patch-Depth Fusion: Dichotomous Image Segmentation via Fine-Grained Patch Strategy and Depth Integrity-Prior
MVANet
0.941
0.034
0.905
0.904
0.863
Multi-view Aggregation Network for Dichotomous Image Segmentation
InSPyReNet (HR scale)
-
-
0.900
0.889
-
Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
BiRefNet
0.928
0.038
0.898
0.889
0.853
Bilateral Reference for High-Resolution Dichotomous Image Segmentation
InSPyReNet
0.921
0.043
0.887
0.876
0.826
Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
IS-Net
0.856
0.074
0.813
0.791
0.717
Highly Accurate Dichotomous Image Segmentation
U2Net
0.823
0.090
0.781
0.748
0.656
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
HySM
0.814
0.096
0.773
0.734
0.640
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation
BASNet
0.816
0.094
0.768
0.731
0.641
BASNet: Boundary-Aware Salient Object Detection
-
HRNet
0.824
0.095
0.767
0.726
0.641
Deep High-Resolution Representation Learning for Visual Recognition
MBV3
0.841
0.092
0.758
0.714
0.642
Searching for MobileNetV3
ICNet
0.811
0.102
0.747
0.697
0.609
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
UNet
0.785
0.113
0.745
0.692
0.586
U-Net: Convolutional Networks for Biomedical Image Segmentation
PSPNet
0.802
0.102
0.744
0.691
0.603
Pyramid Scene Parsing Network
STDC
0.817
0.103
0.740
0.696
0.613
Rethinking BiSeNet For Real-time Semantic Segmentation
PFNet
0.811
0.106
0.740
0.691
0.604
Camouflaged Object Segmentation with Distraction Mining
F3Net
0.800
0.107
0.733
0.685
0.595
F3Net: Fusion, Feedback and Focus for Salient Object Detection
BSV1
0.767
0.116
0.728
0.662
0.548
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
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