Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog
Table 4: Comparison of ReDAN to state-of-the-art visual dialog models on the blind test-std v1.0 set, as reported by the test server. (†) taken from https://evalai.cloudcv.org/web/challenges/challenge-page/161/leaderboard/483. (‡) taken from https://evalai.cloudcv.org/web/challenges/challenge-page/103/leaderboard/298.
['Model', 'NDCG', 'MRR', 'R@1', 'R@5', 'R@10', 'Mean']
S4SS4SSS0Px2 Results on VisDial test-std v1.0 We also evaluate the proposed ReDAN on the blind test-std v1.0 set, by submitting results to the online evaluation server. By using a diverse set of ensembles, ReDAN+ outperforms the state of the art method, DAN Kottur et al.