:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Pi-Wei, Lin, Jerry Chun-Wei, Ji, Jia, Yeh, Feng-Hao, Chen, Zih-Ching, Chen, Chao-Chun
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2406.18197
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Human-prompting: Adaptive Prompt Tuning with Semantic Alignment for Anomaly Detection
by: Chen, Pi-Wei, et al.
Published: (2025)

Feature Purified Transformer With Cross-level Feature Guiding Decoder For Multi-class OOD and Anomaly Deteciton
by: Lin, Jerry Chun-Wei, et al.
Published: (2024)

AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors
by: Chang, You-Ming, et al.
Published: (2023)

Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts
by: Chin, Zhi-Yi, et al.
Published: (2023)

PatchEAD: Unifying Industrial Visual Prompting Frameworks for Patch-Exclusive Anomaly Detection
by: Huang, Po-Han, et al.
Published: (2025)

OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
by: Huang, Wei-Cheng, et al.
Published: (2024)

Text-guided Visual Prompt DINO for Generic Segmentation
by: Guan, Yuchen, et al.
Published: (2025)

The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation
by: Gao, Shuzheng, et al.
Published: (2025)

PLHF: Prompt Optimization with Few-Shot Human Feedback
by: Yang, Chun-Pai, et al.
Published: (2025)

Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts
by: Chen, Hongyi, et al.
Published: (2024)

Quantized Prompt for Efficient Generalization of Vision-Language Models
by: Hao, Tianxiang, et al.
Published: (2024)

On Meta-Prompting
by: de Wynter, Adrian, et al.
Published: (2023)

LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization
by: Wu, Yuanchen, et al.
Published: (2025)

PRISM: Prompt-Refined In-Context System Modelling for Financial Retrieval
by: Ng, Chun Chet, et al.
Published: (2025)

AEGIS : Automated Co-Evolutionary Framework for Guarding Prompt Injections Schema
by: Liu, Ting-Chun, et al.
Published: (2025)

3D-Grounded Vision-Language Framework for Robotic Task Planning: Automated Prompt Synthesis and Supervised Reasoning
by: Tang, Guoqin, et al.
Published: (2025)

Optimizing Prompts for Large Language Models: A Causal Approach
by: Chen, Wei, et al.
Published: (2026)

SOP^2: Transfer Learning with Scene-Oriented Prompt Pool on 3D Object Detection
by: Cheng, Ching-Hung, et al.
Published: (2025)

PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
by: Li, Zheng, et al.
Published: (2024)

Prompt2Task: Automating UI Tasks on Smartphones from Textual Prompts
by: Huang, Tian, et al.
Published: (2024)

Revisiting Prompt Pretraining of Vision-Language Models
by: Chen, Zhenyuan, et al.
Published: (2024)

VIP: Visual-guided Prompt Evolution for Efficient Dense Vision-Language Inference
by: Zhu, Hao, et al.
Published: (2026)

FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection
by: Lu, Xinhua, et al.
Published: (2025)

Learning to Prompt Your Domain for Vision-Language Models
by: Wei, Guoyizhe, et al.
Published: (2023)

PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
by: Li, Xiaofan, et al.
Published: (2024)

WMoE-CLIP: Wavelet-Enhanced Mixture-of-Experts Prompt Learning for Zero-Shot Anomaly Detection
by: Chen, Peng, et al.
Published: (2026)

Memory-SAM: Human-Prompt-Free Tongue Segmentation via Retrieval-to-Prompt
by: Chae, Joongwon, et al.
Published: (2025)

Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt
by: Liu, Jiaqi, et al.
Published: (2024)

Consistency-guided Prompt Learning for Vision-Language Models
by: Roy, Shuvendu, et al.
Published: (2023)

Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models
by: Liu, Xinyang, et al.
Published: (2023)

PromptMoE: Generalizable Zero-Shot Anomaly Detection via Visually-Guided Prompt Mixtures
by: Shao, Yuheng, et al.
Published: (2025)

Learning from Prompt itself: the Hierarchical Attribution Prompt Optimization
by: Chen, Dongyu, et al.
Published: (2026)

XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization
by: Bie, Yequan, et al.
Published: (2024)

UniAPO: Unified Multimodal Automated Prompt Optimization
by: Zhu, Qipeng, et al.
Published: (2025)

Prompting Is All You Need: Automated Android Bug Replay with Large Language Models
by: Feng, Sidong, et al.
Published: (2023)

Rethinking Prompt Optimizers: From Prompt Merits to Optimization
by: Zhu, Zixiao, et al.
Published: (2025)

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation
by: Wang, Haoyu, et al.
Published: (2025)

Neutral-Reference Prompting for Vision-Language Models
by: Tian, Senmao, et al.
Published: (2026)

Automating Personalization: Prompt Optimization for Recommendation Reranking
by: Wang, Chen, et al.
Published: (2025)

Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts
by: Niu, Chaoxi, et al.
Published: (2024)