Video Captioning via Hierarchical Reinforcement Learning
Table 1: Comparison with state of the arts on MSR-VTT dataset.
['Method', 'BLEU@4', 'METEOR', 'ROUGE-L', 'CIDEr']
S4SS3SSS0Px1 Comparison with state of the arts on MSR-VTT We implemented two baseline methods: an attention-based sequence-to-sequence model trained with cross-entropy loss (XE-baseline), and the same model trained with policy gradient and CIDEr score as the RL reward (RL-baseline). Moreover, our novel HRL method outperformed all the other algorithms listed in the table, which proved the effectiveness of our proposed method.