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Benchmarks
Object Classification on CUB 50 classes
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54.6
Top-1 Accuracy
PROTO. NETS
10.608
22.029
33.45
44.871
Mar 30, 2015
Jul 27, 2015
Nov 23, 2015
Mar 22, 2016
Jul 19, 2016
Nov 15, 2016
Mar 15, 2017
Top-1 Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Top-1 Accuracy
PROTO. NETS
Image Features=GoogLeN...
2017.03
54.6
DA-SJE
Image Features=GoogLeN...
2017.03
50.9
DS-SJE
Image Features=GoogLeN...
2017.03
50.4
SJE
Image Features=GoogLeN...
2017.03
50.1
SAMPLE CLUSTERING
Image Features=AlexNet...
2017.03
44.3
SJE
Image Features=AlexNet...
2017.03
40.3
ALE
FV dimensions=64K
2015.03
26.9
ALE
Image Features=Fisher,...
2017.03
26.9
DAP
FV dimensions=64K
2015.03
12.3
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