Video Captioning On Activitynet Captions
Metrics
BLEU4
CIDEr
METEOR
Results
Performance results of various models on this benchmark
| Paper Title | ||||
|---|---|---|---|---|
| VideoCoCa | 14.7 | 39.3 | - | VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners |
| VLTinT (ae-test split) C3D/Ling | 14.5 | 31.13 | 17.97 | VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning |
| VLCap (ae-test split) - Appearance + Language | 13.38 | 31.29 | 17.48 | VLCap: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning |
| COOT (ae-test split) - Only Appearance features | 10.85 | 28.19 | 15.99 | COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning |
| MART (ae-test split) - Appearance + Flow | 10.33 | 23.42 | 15.68 | MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning |
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