Network Dissection

Selected units are shown from three state-of-the-art network architectures when trained to classify images of places (places-365). Many individual units respond to specific high-level concepts (object segmentations) that are not directly represented in the training set (scene classifications). Why we study interpretable units Interpretable units are interesting because they hint that deep networks