AAAI 2024 "prompt tuning" Papers
8 papers found
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
Zhaopeng Gu, Bingke Zhu, Guibo Zhu et al.
AAAI 2024paperarXiv:2308.15366
240
citations
Compound Text-Guided Prompt Tuning via Image-Adaptive Cues
Hao Tan, Jun Li, Yizhuang Zhou et al.
AAAI 2024paperarXiv:2312.06401
13
citations
DGL: Dynamic Global-Local Prompt Tuning for Text-Video Retrieval
Xiangpeng Yang, Linchao Zhu, Xiaohan Wang et al.
AAAI 2024paperarXiv:2401.10588
Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning
Shangchao Su, Mingzhao Yang, Bin Li et al.
AAAI 2024paperarXiv:2211.07864
37
citations
Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks
Bo Li, Wei Ye, Quansen Wang et al.
AAAI 2024paperarXiv:2312.08726
4
citations
LAMM: Label Alignment for Multi-Modal Prompt Learning
Jingsheng Gao, Jiacheng Ruan, Suncheng Xiang et al.
AAAI 2024paperarXiv:2312.08212
28
citations
Test-Time Personalization with Meta Prompt for Gaze Estimation
Huan Liu, Julia Qi, Zhenhao Li et al.
AAAI 2024paperarXiv:2401.01577
11
citations
Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning
Kun Ding, Haojian Zhang, Qiang Yu et al.
AAAI 2024paperarXiv:2404.00603
7
citations