Dense Video Captioning On Activitynet
المقاييس
BLEU-3
BLEU-4
METEOR
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
| اسم النموذج | BLEU-3 | BLEU-4 | METEOR |
|---|---|---|---|
| iperceive-applying-common-sense-reasoning-to-1 | 2.93 | 1.29 | 7.87 |
| global-object-proposals-for-improving-multi | - | 9.45 | 16.36 |
| multi-modal-dense-video-captioning | 2.6 | 1.07 | 7.31 |
| end-to-end-dense-video-captioning-with | - | 2.17 | 9.03 |
| team-ruc-aim3-technical-report-at-activitynet | - | - | 11.28 |
| vid2seq-large-scale-pretraining-of-a-visual | - | - | 17 |
| dense-captioning-events-in-videos-sysu | - | - | 9.71 |
| tsp-temporally-sensitive-pretraining-of-video | 4.16 | 2.02 | 8.75 |
| learning-grounded-vision-language | - | - | 10.03 |
| a-better-use-of-audio-visual-cues-dense-video | 3.84 | 1.88 | 8.44 |
| do-you-remember-dense-video-captioning-with | - | - | 8.55 |
| vtimellm-empower-llm-to-grasp-video-moments | - | - | - |