1. InternVideo: General Video Foundation Models via Generative and Discriminative Learning
- https://arxiv.org/pdf/2212.03191v2.pdf
- 2022, 118회 인용
2. Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning
- https://arxiv.org/pdf/2212.03229v1.pdf
- 2023, 23회 인용
3. Unmasked Teacher: Towards Training-Efficient Video Foundation Models
- https://arxiv.org/pdf/2303.16058v1.pdf
- 2023, 35회 인용
4. Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning
- https://arxiv.org/pdf/2212.03229v1.pdf
- 2023, 27회 인용
5. UNIFORMERV2: SPATIOTEMPORAL LEARNING BY ARMING IMAGE VITS WITH VIDEO UNIFORMER
- 2022, 50회 인용
- https://openreview.net/pdf?id=d77RVuVg-Mf
6. Masked Feature Prediction for Self-Supervised Visual Pre-Training
- 2022, 480회 인용
- https://arxiv.org/pdf/2112.09133v2.pdf
- https://velog.io/@hsbc/Masked-Feature-Prediction-for-Self-Supervised-Visual-Pre-Training
7. Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning
- 2023, 25회 인용
- https://arxiv.org/pdf/2212.04500v2.pdf
8. Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
- 2023, 15회 인용
- https://arxiv.org/pdf/2306.00989v1.pdf
9. CoCa: Contrastive Captioners are Image-Text Foundation Models
- 2022, 761회 인용
- https://arxiv.org/pdf/2205.01917.pdf
- https://velog.io/@hsbc/CoCa-Contrastive-Captioners-are-Image-Text-Foundation-Models
10. Multiview Transformers for Video Recognition
- 2022, 192회 인용
- https://openaccess.thecvf.com/content/CVPR2022/papers/Yan_Multiview_Transformers_for_Video_Recognition_CVPR_2022_paper.pdf
11. MERLOT: Multimodal Neural Script Knowledge Models
모든 의사 결정 과정을 지나칠 정도로 모두 기록하고, 나중에 스스로 피드백 하는 것