Machine Learning, Deep Learning, Artificial Intelligence, Data Science, Object Detection.
and FC6) and then concatenated as a single long feature vector (4096×4). 2. Skip Connections In original Fast R-CNN using VGG16 as backbone, only conv5 layer is used for ROI pooling. At this layer, features have been downsampled by a factor of 16. However, 40% of COCO objects have area less than