Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

18 Jun 2014Kaiming He • Xiangyu Zhang • Shaoqing Ren • Jian Sun

This requirement is "artificial" and may reduce the recognition accuracy for the images or sub-images of an arbitrary size/scale. Pyramid pooling is also robust to object deformations. In processing test images, our method is 24-102x faster than the R-CNN method, while achieving better or comparable accuracy on Pascal VOC 2007.

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Evaluation


Task Dataset Model Metric name Metric value Global rank Compare
Object Detection PASCAL VOC 2007 SPP (Overfeat-7) MAP 82.44% # 4