Meshed-Memory Transformer for Image Captioning
Table 3: Comparison with the state of the art on the “Karpathy” test split, using an ensemble of models.
['[EMPTY]', 'B-1', 'B-4', 'M', 'R', 'C', 'S']
Ensemble model. Following the common practice [rennie2017self, huang2019attention] of building an ensemble of models, we also report the performances of our approach when averaging the output probability distributions of multiple and independently trained instances of our model. Noticeably, when using four models our approach achieves the best performance according to all metrics, with an increase of 2.5 CIDEr points with respect to the current state of the art [huang2019attention].