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Image Classification on VOC 2007 (trainval test)

98.9AP (Plane)VeryDeep
81.53286.04190.5595.059Apr 22, 2015

Evaluation results

MethodLinks
VeryDeepBackbone Architecture=16-layer VGG CNN2015.0498.989.79596.895.469.790.493.59674.286.687.89696.393.197.27092.180.398.187
FusionStrategy=Average score fusion of VeryDeep and FeV+LV-20-VD2015.0498.29296.997.195.874.394.296.796.776.790.58896.997.795.998.678.593.682.498.490.4
FeV+LV-20-VDBackbone Architecture=16-layer VGG CNN2015.0497.990.69796.694.673.693.996.595.573.790.382.895.497.795.998.677.688.77898.389
FeV+LV-10Backbone Architecture=8-layer CNN, Label Categories=102015.0496.68593.69489.559.687.494.89167.381.476.39193.591.496.164.283.468.595.884
HCP-2000CBackbone Architecture=8-layer CNN, Pre-training Dataset=ILSVRC 2012 + additional 1000 categories2015.049685.292.193.793.458.78493.49262.889.176.391.49587.893.169.990.36896.880.6
FeV+LV-20Backbone Architecture=8-layer CNN, Label Categories=202015.0495.786.294.693.987.862.787.994.892.267.582.477.89293.292.297.172.585.373.496.285.5
HCP-1000CBackbone Architecture=8-layer CNN, Pre-training Dataset=ILSVRC 20122015.0495.181.590.192.889.951.58091.791.657.777.870.989.389.385.2936485.762.794.478.3
FeVBackbone Architecture=8-layer CNN2015.0493.383.792.891.886.557.584.393.790.664.778.974.190.391.190.795.767.482.470.894.383.3
CNN-SVMBackbone Architecture=8-layer CNN, Pre-training Dataset=ILSVRC 20122015.0488.573.98183.5824272.585.381.659.958.566.377.881.878.890.254.871.162.687.471.8
PRE-1000CBackbone Architecture=8-layer CNN, Pre-training Dataset=ILSVRC 20122015.0488.577.781.587.98247.575.590.187.261.675.767.385.583.58095.660.876.85890.477.9
AMMFeature Type=Hand-crafted2015.0484.571.381.56571.452.276.287.268.563.855.865.855.684.87791.155.26069.783.677
AGSFeature Type=Hand-crafted2015.0482.271.18358.476.156.477.588.869.162.261.864.251.385.480.291.148.161.767.786.370.9