Adaptively Aligned Image Captioning via Adaptive Attention Time
Table 2: Tradeoff for time cost penalty. We show the average attention time steps as well as the performance with different values of λ. The results are reported by a single model after self-critical training stage.
['[ITALIC] λ', 'avg. steps', 'BLEU-1', 'BLEU-2', 'BLEU-3', 'BLEU-4', 'ROUGE', 'CIDEr-D', 'METEOR', 'SPICE']
We assign different values to λ and obtain the results of average attention time as well as performance for each value after the cross-entropy loss training stage. the attention time won’t as λ decreases. We find 1e-4 to be a perfect value for λ with the best performance while involving relatively small attention time steps.