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Attribute Prediction on Clothing dataset 8 (test)

93.12Accuracy (Color)

MG-CNN

Updated 4d ago

Evaluation Results

Method	Links
MG-CNN 2022.07		93.12	95.37	88.65	91.93	92.82
Label2Label 2022.07		92.73	96.82	88.2	90.88	92.87
AQN 2022.07		91.98	96.37	88.19	89.89	92.29
M-CNN 2022.07		91.72	94.26	87.96	91.51	91.7
Meng et al. 2022.07		91.64	96.81	89.25	89.53	92.39
FC Head 2022.07		91.39	96.07	87	88.21	91.57
S-CNN 2022.07		90.5	92.9	87	89.57	90.43
MG-CNN 2016.01		0.9312	0.9537	0.8865	0.9193	0.9282
M-CNN 2016.01		0.9172	0.9426	0.8796	0.9151	0.917
S-CNN 2016.01		0.905	0.929	0.87	0.8957	0.9043
CRF 2016.01		0.85	0.8433	0.8125	0.825	0.8395
M-extract 2016.01		0.8498	0.8989	0.8141	0.8103	0.8529
S-extract 2016.01		0.8184	0.8207	0.6751	0.6925	0.7831
CF 2016.01		0.81	0.8208	0.7763	0.785	0.8048