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المنصة
الرئيسية
SOTA
التمييز الثنائي للفصل الصوري
Dichotomous Image Segmentation On Dis Te1
Dichotomous Image Segmentation On Dis Te1
المقاييس
E-measure
HCE
MAE
S-Measure
max F-Measure
weighted F-measure
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
E-measure
HCE
MAE
S-Measure
max F-Measure
weighted F-measure
Paper Title
PDFNet
0.927
-
0.031
0.899
0.890
0.846
Patch-Depth Fusion: Dichotomous Image Segmentation via Fine-Grained Patch Strategy and Depth Integrity-Prior
BiRefNet
0.908
106
0.038
0.882
0.855
0.814
Bilateral Reference for High-Resolution Dichotomous Image Segmentation
MVANet
0.911
104
0.037
0.879
0.873
0.823
Multi-view Aggregation Network for Dichotomous Image Segmentation
InSPyReNet (HR scale)
0.894
110
0.045
0.873
0.845
0.788
Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
InSPyReNet
-
148
-
0.862
0.834
-
Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
IS-Net
0.820
149
0.074
0.787
0.740
0.662
Highly Accurate Dichotomous Image Segmentation
HySM
0.803
205
0.082
0.761
0.695
0.597
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation
U2Net
0.801
224
0.083
0.760
0.694
0.601
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
BASNet
0.801
220
0.084
0.754
0.688
0.595
BASNet: Boundary-Aware Salient Object Detection
HRNet
0.797
262
0.088
0.742
0.668
0.579
Deep High-Resolution Representation Learning for Visual Recognition
MBV3
0.818
274
0.083
0.740
0.669
0.595
Searching for MobileNetV3
SINetV2
0.791
274
0.094
0.727
0.644
0.558
Concealed Object Detection
PSPNet
0.791
267
0.089
0.725
0.645
0.557
Pyramid Scene Parsing Network
STDC
0.798
249
0.090
0.723
0.648
0.562
Rethinking BiSeNet For Real-time Semantic Segmentation
PFNet
0.786
253
0.094
0.722
0.646
0.552
Camouflaged Object Segmentation with Distraction Mining
F3Net
0.783
244
0.095
0.721
0.640
0.549
F3Net: Fusion, Feedback and Focus for Salient Object Detection
ICNet
0.784
234
0.095
0.716
0.631
0.535
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
UNet
0.750
233
0.106
0.716
0.625
0.514
U-Net: Convolutional Networks for Biomedical Image Segmentation
GCPANet
0.750
271
0.103
0.705
0.598
0.495
Global Context-Aware Progressive Aggregation Network for Salient Object Detection
GateNet
0.766
230
0.099
0.701
0.620
0.517
Suppress and Balance: A Simple Gated Network for Salient Object Detection
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