VideoBERT
Introduced by Sun et al. in VideoBERT: A Joint Model for Video and Language Representation LearningVideoBERT adapts the powerful BERT model to learn a joint visual-linguistic representation for video. It is used in numerous tasks, including action classification and video captioning.
Source: VideoBERT: A Joint Model for Video and Language Representation Learning
Latest Papers
| PAPER | DATE |
|---|---|
|
Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training
• • • • • • • • |
2021-04-19 |
|
Visual Grounding Strategies for Text-Only Natural Language Processing
|
2021-03-25 |
|
VideoBERT: A Joint Model for Video and Language Representation Learning
• • • • |
2019-04-03 |
Tasks
| TASK | PAPERS | SHARE |
|---|---|---|
| Language Modelling | 3 | 27.27% |
| Image Retrieval | 1 | 9.09% |
| Question Answering | 1 | 9.09% |
| Visual Question Answering | 1 | 9.09% |
| Action Classification | 1 | 9.09% |
| Quantization | 1 | 9.09% |
| Self-Supervised Learning | 1 | 9.09% |
| Speech Recognition | 1 | 9.09% |
| Video Captioning | 1 | 9.09% |
Usage Over Time
Components
| COMPONENT | TYPE |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |