1. A visual object detection system comprising: a multi-scale image generator to generate a set of images from an input image, the set of images being versions of the input image at different scales; an object-specific fully convolutional network (FCN) model operable to generate a set of detection results for each image in the set of images that is indicative of objects that are potentially of a specific object type, wherein the object-specific FCN model is generated from a transfer learning guided FCN initially that is trained, in part, by application of a fine-tuned process that is based on data of the specific object type; and a post processor to combine sets of detection results generated by the FCN model for the set of images into an output image with each object location determined as potentially being the specific object type.