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Benchmarks
Model Parsing on RED140 (test)
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84.6
Loss F1
LGPN
75.968
78.209
80.45
82.691
Dec 3, 2023
Loss F1
Loss Accuracy
Discrete Params F1
Discrete Params Accuracy
Continuous Params L1 Error
Updated 1mo ago
Evaluation Results
Method
Method
Links
Loss F1
Loss Accuracy
Discrete Params F1
Discrete Params Accuracy
Continuous Params L1 Error
LGPN
Backbone=GTC, MP Head=...
2023.12
84.6
83.3
79.5
77.5
0.12
Baseline4 (GTC)
Backbone=GTC, MP Head=MLP
2023.12
82.5
80.9
75.7
70.9
0.135
Baseline2
Backbone=HR-Net, MP He...
2023.12
80.7
81.9
72.2
70.3
0.149
FEN-PN
Backbone=FEN., MP Head...
2023.12
80.5
78.9
73
70.8
0.139
Baseline1
Backbone=ResNet-50, MP...
2023.12
79
77.7
72.1
69
0.163
Baseline3
Backbone=ViT-B, MP Hea...
2023.12
76.3
75.9
68.3
66.4
0.177
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