Deep Learning, Artificial Intelligence, Convolutional Network, Object Detection, Machine Learning.
YOLOv2 (73.4%), Faster R-CNN (73.8%), With COCO used for training, DSOD300 (79.3%) outperforms ION (76.4%) and R-FCNmulti-sc (77.6%). 4.3. MS COCO MS COCO test-dev 2015 detection results. The trainval set (train set + validation set) is used for training. DSOD300 achieves 29.3%/47.3% (overall