ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection
Author:
Affiliation:
1. University of Arkansas,AICV Lab,Fayetteville,Arkansas,USA
2. FPT Software AI Center,Vietnam
3. West Virginia University,Morgantown,West Virginia,USA
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10483279/10483282/10484482.pdf?arnumber=10484482
Reference60 articles.
1. Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning
2. TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks
3. Soft-NMS — Improving Object Detection with One Line of Code
4. ActivityNet: A large-scale video benchmark for human activity understanding
5. X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks
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