Deep Learning, Artificial Intelligence, Convolutional Network, Self Supervised Learning, Unsupervised Learning.
Classification For detection, Fast R-CNN framework is used while for segmentation, FCN framework is used. The trained features using CFN achieve 53.2% mAP using multi-scale training and testing, 67.6% in classification, and 37.6% in semantic segmentation thus outperforming all other methods such as