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References (57)

[1]
AnomalyMoE: Towards a Language-free Generalist Model for Unified Visual Anomaly Detection
2025Zhaopeng Gu, Bingke Zhu et al.
[2]
CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning
2025Jinyuan Feng, Chaopeng Wei et al.
[3]
Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection
2025Zhen Qu, Xian Tao et al.
[4]
AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP
2025Wenxin Ma, Xu Zhang et al.
[5]
PA-CLIP: Enhancing Zero-Shot Anomaly Detection through Pseudo-Anomaly Awareness
2025Yurui Pan, Lidong Wang et al.
[6]
OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning
2025Jinyuan Feng, Zhiqiang Pu et al.
[7]
Understanding Surgical Triplet Videos Through Transferable Visual Models from Natural Language Supervision
2025Yunhao Li, Aoying Wang et al.
[8]
ADFormer: Generalizable Few-Shot Anomaly Detection With Dual CNN-Transformer Architecture
2025Bingke Zhu, Zhaopeng Gu et al.
[9]
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
2025Adam Suma, Sam Dauncey
[10]
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection
2024Yunkang Cao, Jiangning Zhang et al.
[11]
VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
2024Zhen Qu, Xian Tao et al.
[12]
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
2024Jia Guo, Shuai Lu et al.
[13]
MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA based Mixture of Experts
2024Dengchun Li, Yingzi Ma et al.
[14]
FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization
2024Zhaopeng Gu, Bingke Zhu et al.
[15]
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
2024Haoyang He, Yuhu Bai et al.
[16]
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
2024Zeyu Han, Chao Gao et al.
[17]
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection
2024Liren He, Zhengkai Jiang et al.
[18]
Asymmetry in Low-Rank Adapters of Foundation Models
2024Jiacheng Zhu, Kristjan H. Greenewald et al.
[19]
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images
2024Xurui Li, Ziming Huang et al.
[20]
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect
2024Yunkang Cao, Xiaohao Xu et al.

Showing 20 of 57 references

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