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This report presents our submission to the MS COCO Captioning Challenge 2015.The method uses Convolutional Neural Network activations as an embedding tofind semantically similar images. From these images, the most typical captionis selected based on unigram frequencies. Although the method received lowscores with automated evaluation metrics and in human assessed averagecorrectness, it is competitive in the ratio of captions which pass the Turingtest and which are assessed as better or equal to human captions.

Technical Report: Image Captioning with Semantically Similar Images