Deep Learning, Artificial Intelligence, Convolutional Network, Object Detection, Machine Learning.
layers) achieves 73.6% mAP with only 5.9M parameters, which shows great potential for applications on low-end devices. Reference [2017 ICCV] [DSOD] DSOD: Learning Deeply Supervised Object Detectors from Scratch Object Detection 2014: [OverFeat] [R-CNN] 2015: [Fast R-CNN] [Faster R-CNN] [MR-CNN &