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Benchmarks
Facial Expression Recognition on CK+ Eight Classes (10-fold cross val)
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99.3
Avg Accuracy
PPDN
88.276
91.138
94
96.862
Jul 24, 2016
Aug 2, 2016
Aug 12, 2016
Aug 22, 2016
Sep 1, 2016
Sep 11, 2016
Sep 21, 2016
Avg Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Avg Accuracy
PPDN
Experimental Settings=...
2016.07
99.3
PPDN w/o peak
Experimental Settings=...
2016.07
99.2
PPDN (standard SGD)
Experimental Settings=...
2016.07
99.1
GoogLeNet (baseline)
Experimental Settings=...
2016.07
99
DTAGN(Joint)
Experimental Settings=...
2016.07
97.3
FN2EN
Training Protocol=Face...
2016.09
96.8
STM-ExpLet
Experimental Settings=...
2016.07
94.2
3DCNN-DAP
Experimental Settings=...
2016.07
92.4
AUDN
Input Modality=Image-b...
2016.09
92.1
VGG-16 face net
Training Protocol=Fine...
2016.09
89.9
FN2EN
Training Protocol=Trai...
2016.09
88.7
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