The invention provides a real-time detection method for a single-stage multi-scale specific target based on an effective
receptive field. The method comprises the following steps: firstly, extractinga corresponding feature layer from a multi-scale architecture of an SSD, and selecting a scale according to a pixel range covered by a
receptive field; secondly, an anchor structure in a traditional method is removed, fewer feature
layers are adopted, and classification and regression are directly carried out on corresponding
receptive field frames of the feature map by utilizing the characteristics of a natural receptive field; Finally, an RF (receptive field) sampling frame ash placement learning strategy is adopted, and redundant parameters are prevented from being learned. According to themethod, the complexity of a traditional
algorithm based on an anchor sampling frame is greatly reduced, the detection efficiency is improved, the real-
time effect can be achieved, and the method hasvery high use value under the application background with very large data volume.