SSD

SSD的pipeline和关键技术

SSD的网络结构

SSD的多尺度特征图

SSD的default box

SSD的default box与faster r-cnn的anchor box的对比

SSD的训练样本与groundTruth的匹配策略 + 损失函数

SSD的default box和尺度选择

总结

从R-CNN → SPP → Fast R-CNN → Faster R-CNN → YOLO → SSD整体在准确率和速度上都在提高

  参考文献

R-CNN

Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: CVPR. (2014)

SPP

He, K., Zhang, X., Ren, S., Sun, J.: Spatial pyramid pooling in deep convolutional networks for visual recognition. In: ECCV. (2014)

Fast R-CNN

Girshick, R.: Fast R-CNN. In: ICCV. (2015)

Faster R-CNN

Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: Towards real-time object detection with region proposal networks. In: NIPS. (2015)

YOLO

Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once: Unified, real-time object detection. In: CVPR. (2016)

SSD

W. Liu, D. Anguelov, D. Erhan, C. Szegedy, and S. Reed. SSD: Single shot multibox detector. arXiv:1512.02325v2, 2015

  推荐链接

Faster RCNN的论文阅读

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