Neural Self Talk: Image Understanding via Continuous Questioning and Answering
Table 2: “Self talk” AMT human evaluation.
['[EMPTY]', 'Readability', 'Correctness', 'Human likeness']
In Table. We randomly drawn 100 and 1000 testing samples from DAQUAR and MSCOCO-VQA testing sets for the human evaluation reported here. From the human evaluation, we can see that the questions generated have achieved close to human readability. The correctness of the generated “self talk” averagely has some relevance to the image and according to Turkers, the imagined companion robot acts averagely beyond “a bit like human being” but below the “half human, half machine” category.