CCA - VGG19

Reported on 3 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing3 results

Phrase GroundingonFlickr30k Entities Test
R@1· 2015-05-19
30.83
best: 87.7 (GLIPv2)
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models arXiv:1505.04870
Phrase GroundingonFlickr30k Entities Test
R@10· 2015-05-19
67.15
best: 98.1 (GLIP)
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models arXiv:1505.04870
Phrase GroundingonFlickr30k Entities Test
R@5· 2015-05-19
58.01
best: 96.9 (GLIP)
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models arXiv:1505.04870