VLMAH: Visual-Linguistic Modeling of Action History for Effective Action Anticipation
Author:
Affiliation:
1. University of Crete,Computer Science Department
2. Hellenic Mediterranean University,Science & Technology,Department of Management
Funder
European Social Fund
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10350357/10350360/10350837.pdf?arnumber=10350837
Reference62 articles.
1. When will you do what? - Anticipating Temporal Occurrences of Activities
2. ViViT: A Video Vision Transformer
3. Improving Deep Learning Approaches for Human Activity Recognition based on Natural Language Processing of Action Labels
4. Cross-Domain Learning in Deep HAR Models via Natural Language Processing on Action Labels
5. The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose
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