Explicit Uncertainty Modeling for Active CLIP Adaptation with Dual Prompt Tuning
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Qian-Wei, Song, Yaguang, Xia, Shu-Tao |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bridging Weakly-Supervised Learning and VLM Distillation: Noisy Partial Label Learning for Efficient Downstream Adaptation
by: Wang, Qian-Wei, et al.
Published: (2025)
by: Wang, Qian-Wei, et al.
Published: (2025)
Fine-tuning Pre-trained Vision-Language Models in a Human-Annotation-Free Manner
by: Wang, Qian-Wei, et al.
Published: (2026)
by: Wang, Qian-Wei, et al.
Published: (2026)
MINT: Memory-Infused Prompt Tuning at Test-time for CLIP
by: Yi, Jiaming, et al.
Published: (2025)
by: Yi, Jiaming, et al.
Published: (2025)
Biomed-DPT: Dual Modality Prompt Tuning for Biomedical Vision-Language Models
by: Peng, Wei, et al.
Published: (2025)
by: Peng, Wei, et al.
Published: (2025)
Pre-Trained Vision-Language Models as Partial Annotators
by: Wang, Qian-Wei, et al.
Published: (2024)
by: Wang, Qian-Wei, et al.
Published: (2024)
Revisiting the Robust Generalization of Adversarial Prompt Tuning
by: Yang, Fan, et al.
Published: (2024)
by: Yang, Fan, et al.
Published: (2024)
CVPT: Cross Visual Prompt Tuning
by: Huang, Lingyun, et al.
Published: (2024)
by: Huang, Lingyun, et al.
Published: (2024)
Pedestrian Attribute Recognition via CLIP based Prompt Vision-Language Fusion
by: Wang, Xiao, et al.
Published: (2023)
by: Wang, Xiao, et al.
Published: (2023)
SS-ADA: A Semi-Supervised Active Domain Adaptation Framework for Semantic Segmentation
by: Yan, Weihao, et al.
Published: (2024)
by: Yan, Weihao, et al.
Published: (2024)
Pilot: Building the Federated Multimodal Instruction Tuning Framework
by: Xiong, Baochen, et al.
Published: (2025)
by: Xiong, Baochen, et al.
Published: (2025)
PromptDx: Differentiable Prompt Tuning for Multimodal In-Context Alzheimer's Diagnosis
by: Zhong, Lujia, et al.
Published: (2026)
by: Zhong, Lujia, et al.
Published: (2026)
Frame-Difference Guided Dynamic Region Perception for CLIP Adaptation in Text-Video Retrieval
by: Yu, Jiaao, et al.
Published: (2025)
by: Yu, Jiaao, et al.
Published: (2025)
SAPL: Semantic-Agnostic Prompt Learning in CLIP for Weakly Supervised Image Manipulation Localization
by: Wang, Xinghao, et al.
Published: (2026)
by: Wang, Xinghao, et al.
Published: (2026)
CLIP Model for Images to Textual Prompts Based on Top-k Neighbors
by: Zhang, Xin, et al.
Published: (2024)
by: Zhang, Xin, et al.
Published: (2024)
Adversarial Prompt Tuning for Vision-Language Models
by: Zhang, Jiaming, et al.
Published: (2023)
by: Zhang, Jiaming, et al.
Published: (2023)
Visual Instance-aware Prompt Tuning
by: Xiao, Xi, et al.
Published: (2025)
by: Xiao, Xi, et al.
Published: (2025)
C-DGPA: Class-Centric Dual-Alignment Generative Prompt Adaptation
by: Li, Chao, et al.
Published: (2025)
by: Li, Chao, et al.
Published: (2025)
BoxTuning: Directly Injecting the Object Box for Multimodal Model Fine-Tuning
by: Qian, Zekun, et al.
Published: (2026)
by: Qian, Zekun, et al.
Published: (2026)
CLIP-Inspector: Model-Level Backdoor Detection for Prompt-Tuned CLIP via OOD Trigger Inversion
by: Jindal, Akshit, et al.
Published: (2026)
by: Jindal, Akshit, et al.
Published: (2026)
Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text Retrieval
by: Zeng, Gangyan, et al.
Published: (2024)
by: Zeng, Gangyan, et al.
Published: (2024)
Omni-NegCLIP: Enhancing CLIP with Front-Layer Contrastive Fine-Tuning for Comprehensive Negation Understanding
by: Xu, Jingqi
Published: (2026)
by: Xu, Jingqi
Published: (2026)
microCLIP: Unsupervised CLIP Adaptation via Coarse-Fine Token Fusion for Fine-Grained Image Classification
by: Silva, Sathira, et al.
Published: (2025)
by: Silva, Sathira, et al.
Published: (2025)
Evolving Prompt Adaptation for Vision-Language Models
by: Zhang, Enming, et al.
Published: (2026)
by: Zhang, Enming, et al.
Published: (2026)
NAP-Tuning: Neural Augmented Prompt Tuning for Adversarially Robust Vision-Language Models
by: Zhang, Jiaming, et al.
Published: (2025)
by: Zhang, Jiaming, et al.
Published: (2025)
LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts
by: Cao, Anh-Quan, et al.
Published: (2024)
by: Cao, Anh-Quan, et al.
Published: (2024)
Adversarial Prompt Injection Attack on Multimodal Large Language Models
by: Ding, Meiwen, et al.
Published: (2026)
by: Ding, Meiwen, et al.
Published: (2026)
Visual Fourier Prompt Tuning
by: Zeng, Runjia, et al.
Published: (2024)
by: Zeng, Runjia, et al.
Published: (2024)
Dynamic Cross-Modal Prompt Generation for Multimodal Continual Instruction Tuning
by: Hu, Tao, et al.
Published: (2026)
by: Hu, Tao, et al.
Published: (2026)
Prompt Tuning with Soft Context Sharing for Vision-Language Models
by: Ding, Kun, et al.
Published: (2022)
by: Ding, Kun, et al.
Published: (2022)
LPT: Less-overfitting Prompt Tuning for Vision-Language Model
by: Ding, Chenhao, et al.
Published: (2024)
by: Ding, Chenhao, et al.
Published: (2024)
MedProbCLIP: Probabilistic Adaptation of Vision-Language Foundation Model for Reliable Radiograph-Report Retrieval
by: Elallaf, Ahmad, et al.
Published: (2026)
by: Elallaf, Ahmad, et al.
Published: (2026)
LocRef-Diffusion:Tuning-Free Layout and Appearance-Guided Generation
by: Deng, Fan, et al.
Published: (2024)
by: Deng, Fan, et al.
Published: (2024)
FoCLIP: A Feature-Space Misalignment Framework for CLIP-Based Image Manipulation and Detection
by: Chen, Yulin, et al.
Published: (2025)
by: Chen, Yulin, et al.
Published: (2025)
TernaryCLIP: Efficiently Compressing Vision-Language Models with Ternary Weights and Distilled Knowledge
by: Zhang, Shu-Hao, et al.
Published: (2025)
by: Zhang, Shu-Hao, et al.
Published: (2025)
Embedded Visual Prompt Tuning
by: Zu, Wenqiang, et al.
Published: (2024)
by: Zu, Wenqiang, et al.
Published: (2024)
Few-Shot Remote Sensing Image Scene Classification with CLIP and Prompt Learning
by: Dimitrovski, Ivica, et al.
Published: (2025)
by: Dimitrovski, Ivica, et al.
Published: (2025)
Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification
by: Lan, Long, et al.
Published: (2024)
by: Lan, Long, et al.
Published: (2024)
Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models
by: Liu, Yufang, et al.
Published: (2024)
by: Liu, Yufang, et al.
Published: (2024)
SPEGC: Continual Test-Time Adaptation via Semantic-Prompt-Enhanced Graph Clustering for Medical Image Segmentation
by: Du, Xiaogang, et al.
Published: (2026)
by: Du, Xiaogang, et al.
Published: (2026)
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP
by: Bai, Jiawang, et al.
Published: (2023)
by: Bai, Jiawang, et al.
Published: (2023)
Similar Items
-
Bridging Weakly-Supervised Learning and VLM Distillation: Noisy Partial Label Learning for Efficient Downstream Adaptation
by: Wang, Qian-Wei, et al.
Published: (2025) -
Fine-tuning Pre-trained Vision-Language Models in a Human-Annotation-Free Manner
by: Wang, Qian-Wei, et al.
Published: (2026) -
MINT: Memory-Infused Prompt Tuning at Test-time for CLIP
by: Yi, Jiaming, et al.
Published: (2025) -
Biomed-DPT: Dual Modality Prompt Tuning for Biomedical Vision-Language Models
by: Peng, Wei, et al.
Published: (2025) -
Pre-Trained Vision-Language Models as Partial Annotators
by: Wang, Qian-Wei, et al.
Published: (2024)