Research Article

A Deep Neural Network-Based Target Recognition Algorithm for Robot Scenes

Table 2

PASCAL VOC2007 test results for different categories.

Methods categoryFasterIONMR-CNNYOLOv2SSD300SS512STDN321STDN513Ours320Ours 512

Aero76.579.280.386.379.584.881.286.184.588.5
Bike7983.184.18283.985.188.389.385.486.4
Bird70.977.678.574.87681.578.179.580.184
Boat66.565.670.859.269.67372.274.373.875.8
Bottle52.154.968.551.850.557.854.361.96069.4
Bus83.185.48879.88787.887.688.587.788.9
Car84.785.185.976.585.788.386.788.388.289.2
Cat86.48787.890.688.187.488.789.48989.5
Chair5254.460.352.160.363.563.567.463.866.7
Cow81.980.685.278.281.585.483.285.584.786.4
Table65.773.873.758.57773.279.479.577.273.2
Dog84.885.387.289.386.186.286.186.48687.6
Horse84.682.286.582.587.586.789.389.286.488.2
M. bike77.582.28583.483.983.98888.586.787.5
Person76.774.476.481.379.482.577.379.382.584.9
Plant38.847.148.549.152.355.652.55356.158.3
Sheep73.675.876.377.277.981.780.377.981.384.9
Sofa73.972.775.562.479.57980.881.480.478.3
Train8384.28583.487.686.686.386.688.587.8
Tv72.680.48168.776.88082.185.579.880.8
mAP73.275.678.276.877.579.579.380.980.181.9