Text-Visual Prompting for Efficient 2D Temporal Video Grounding
Author:
Affiliation:
1. Michigan State University
2. Applied AI, Intel
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10205387.pdf?arnumber=10205387
Reference83 articles.
1. SlowFast Networks for Video Recognition
2. Transfer learning without knowing: Reprogramming black-box machine learning models with scarce data and limited resources;tsai;ArXiv,0
3. X3D: Expanding Architectures for Efficient Video Recognition
4. Learning Spatiotemporal Features with 3D Convolutional Networks
5. Evoquer: Enhancing temporal grounding with video-pivoted backquery generation;gao;ar Xiv preprint,2021
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