Watermark and Trademark Prompts Boost Video Action Recognition in Visual-Language Models
Large-scale Visual-Language Models have demonstrated powerful adaptability in video recognition tasks. However, existing methods typically rely on fine-tuning or text prompt tuning. In this paper, we propose a visual-only prompting method that employs watermark and trademark prompts to bridge the di...
Saved in:
| Main Authors: | Longbin Jin, Hyuntaek Jung, Hyo Jin Jon, Eun Yi Kim |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/13/9/1365 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MPVT: An Efficient Multi-Modal Prompt Vision Tracker for Visual Target Tracking
by: Jianyu Xie, et al.
Published: (2025-07-01) -
Design of a home video behavior recognition system based on visual privacy security mechanism
by: D.M. Zhao
Published: (2025-04-01) -
Skeletal Keypoint-Based Transformer Model for Human Action Recognition in Aerial Videos
by: Shahab Uddin, et al.
Published: (2024-01-01) -
Prompting Creativity: Tiered Approach to Copyright Protection for AI-Generated Content in the Digital Age
by: WooJung Jon
Published: (2025-05-01) -
Basketball action recognition by fusing video recognition techniques with an SSD target detection algorithm
by: He Weizhao, et al.
Published: (2025-05-01)