← Back to papers
2024 ECCV ECCV 2024

R^2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding

🌉 Interdisciplinary Bridge — Artificial Intelligence and Computer Vision
🧭 Keyword Pioneer — image-to-video transfer learning
🐝 Cross-Pollinator — Artificial Intelligence, Computer Vision, Deep Learning, Machine Learning, Natural Language Processing, Speech & Audio

Authors

Ye Liu , Jixuan He , Wanhua Li , Junsik Kim , Donglai Wei , Hanspeter Pfister , Chang Wen Chen

Topics

Artificial Intelligence > Core AI > Multimodal Learning Artificial Intelligence > Learning Paradigms > Transfer Learning Computer Vision > Processing > Video Understanding

Keywords

cross-modal learning image-to-video transfer learning video temporal grounding
Download PDF

Related papers

Ponymation: Learning Articulated 3D Animal Motions from Unlabeled Online Videos 2024
Learning Camouflaged Object Detection from Noisy Pseudo Label 2024
ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation 2024
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition 2024
UniCode : Learning a Unified Codebook for Multimodal Large Language Models 2024