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SOTA Attribute Prediction benchmarks and papers with code | Wizwand
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Attribute Prediction
Benchmarks
Dataset Name
SOTA Method
Dataset Name
SOTA Method
Metric
Trend
Results
Last Updated
CELEBA (test)
RTO
Bias
0.002
20
5mo ago
Clothing dataset 8 (test)
MG-CNN
Accuracy (Color)
93.12
14
5mo ago
MBE 3.0 1.0 (test)
MOON3.0
Accuracy
49.92
13
3mo ago
ARTIFACTBENCH (inductive)
NCN
MAE
0.095
12
2mo ago
ARTIFACTBENCH (transductive)
BUDDY
MAE
0.061
12
2mo ago
LFWA v1.0 (test)
PANDA-l
5 o'clock Shadow
84
11
5mo ago
MBE 2.0
Our MOON2.0
Accuracy
84.29
10
4mo ago
M5Product
MOON
Accuracy
80.22
10
4mo ago
LFWA (test)
SSP + SSG
Classification Error Rate
12.87
9
5mo ago
CelebAMask-HQ
Hölder++
F1 Score
66.5
8
1mo ago
WBCAtt+
Cell structure-aware model
Accuracy
95.16
8
2mo ago
FFHQ original (test)
Base
Gender Accuracy
86.2
7
4mo ago
LSA common -> rare
OvarNet
AP Base
16.74
6
5mo ago
LSA (common)
OvarNet
AP Base
15.57
6
5mo ago
attribute PASCAL 2008 (test)
Cross-stitch
mAP
63
6
5mo ago
CelebA v1.0 (test)
LNets+ANet
5 o'clock Shadow Acc
91
6
5mo ago
Cityscapes Attributes Recognition (CAR) 44
GlideNet
mA
78.1
5
5mo ago
Visual Attributes in the Wild (VAW) 53
GlideNet
Mean Accuracy
73.7
5
5mo ago
Ape clean (test)
MWP-RoBERTa
Accuracy
0.86
4
5mo ago
LIDC-IDRI
X-Caps
Subtlety Accuracy
90.4
3
5mo ago
CUB 312 attributes
DAP
AUC (%)
64.8
2
5mo ago
AWA 85 attributes
DAP
AUC
72.7
2
5mo ago
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