Show, Recall, and Tell: Image Captioning with Recall Mechanism
Table 2: Performance of our proposed methods over other state-of-the-art models after cider optimization training.
['Models', 'B-4', 'M', 'R', 'C', 'S']
To prove the effectiveness and generality of our proposed methods, we have also implemented our proposed methods over other state-of-the-art models: att2in[Rennie_2017_CVPR], att2all[Rennie_2017_CVPR] and stackcap [gu2018look]. We do the comparative experiments over these three models. To be detailed, we have average 2.3% improvement on att2in, 2.1% improvement on att2all, and 3.3% improvement on stackcap. We have conducted the MSCOCO online evaluation and achieved promising results (called “caption-recall”, reported at 19 Oct 2019), which also surpass the online results of our baseline model Up-Down.