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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
3mo ago
Clothing dataset 8 (test)
MG-CNN
Accuracy (Color)
93.12
14
3mo ago
MBE 3.0 1.0 (test)
MOON3.0
Accuracy
49.92
13
2mo ago
ARTIFACTBENCH (inductive)
NCN
MAE
0.095
12
15d ago
ARTIFACTBENCH (transductive)
BUDDY
MAE
0.061
12
15d ago
LFWA v1.0 (test)
PANDA-l
5 o'clock Shadow
84
11
3mo ago
MBE 2.0
Our MOON2.0
Accuracy
84.29
10
2mo ago
M5Product
MOON
Accuracy
80.22
10
3mo ago
LFWA (test)
SSP + SSG
Classification Error Rate
12.87
9
3mo ago
WBCAtt+
Cell structure-aware model
Accuracy
95.16
8
14d ago
FFHQ original (test)
Base
Gender Accuracy
86.2
7
3mo ago
LSA common -> rare
OvarNet
AP Base
16.74
6
3mo ago
LSA (common)
OvarNet
AP Base
15.57
6
3mo ago
attribute PASCAL 2008 (test)
Cross-stitch
mAP
63
6
3mo ago
CelebA v1.0 (test)
LNets+ANet
5 o'clock Shadow Acc
91
6
3mo ago
Cityscapes Attributes Recognition (CAR) 44
GlideNet
mA
78.1
5
3mo ago
Visual Attributes in the Wild (VAW) 53
GlideNet
Mean Accuracy
73.7
5
3mo ago
Ape clean (test)
MWP-RoBERTa
Accuracy
0.86
4
3mo ago
LIDC-IDRI
X-Caps
Subtlety Accuracy
90.4
3
3mo ago
CUB 312 attributes
DAP
AUC (%)
64.8
2
3mo ago
AWA 85 attributes
DAP
AUC
72.7
2
3mo ago
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