Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images
Table 2: The performance comparisons of our model and m-RNN [38] for the standard image captioning task.
['[EMPTY]', 'B-1', 'B-2', 'B-3', 'B-4', 'METEOR', 'CIDEr', 'ROUGE_L']
Models with different hyper-parameters, features or pipelines might lead to better performance, which is beyond the scope of this paper. respectively using, e.g., fine-tuned image features on COCO or consensus reranking [