Learning to Generate Grounded Visual Captions without Localization Supervision
Table 6: Performance comparison on the ActivityNet-Entities test set. Grounding evaluation metrics on per generated sentences are not available on the test server.
['[EMPTY]', 'Grounding', 'Captioning Evaluation', 'Captioning Evaluation', 'Captioning Evaluation', 'Captioning Evaluation', 'Captioning Evaluation', 'Grounding Evaluation', 'Grounding Evaluation']
ActivityNet-Entities. We can see that our baseline again achieved comparable performance to the state of the arts. The proposed method then significantly improved the grounding accuracy around 25% to 30% relative grounding accuracy improvements for both F1\textsubscriptall and F1\textsubscriptloc and around 40% for F1\textsubscriptall@underlineper@underlinesent and F1\textsubscriptloc@underlineper@underlinesent. Interestingly, we observed that baseline with grounding supervision does not improve the captioning accuracy, different from the observation in previous work