Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization
Fuente:
arXiv
Saved in:
| Main Authors: | Deng, Hanqiu, Zhang, Zhaoxiang, Bao, Jinan, Li, Xingyu |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dual-Image Enhanced CLIP for Zero-Shot Anomaly Detection
by: Zhang, Zhaoxiang, et al.
Published: (2024)
by: Zhang, Zhaoxiang, et al.
Published: (2024)
BMAD: Benchmarks for Medical Anomaly Detection
by: Bao, Jinan, et al.
Published: (2023)
by: Bao, Jinan, et al.
Published: (2023)
Structural Teacher-Student Normality Learning for Multi-Class Anomaly Detection and Localization
by: Deng, Hanqiu, et al.
Published: (2024)
by: Deng, Hanqiu, et al.
Published: (2024)
Towards Fine-Grained Vision-Language Alignment for Few-Shot Anomaly Detection
by: Fan, Yuanting, et al.
Published: (2025)
by: Fan, Yuanting, et al.
Published: (2025)
Zero-Shot Fine-Grained Image Classification Using Large Vision-Language Models
by: Atabuzzaman, Md., et al.
Published: (2025)
by: Atabuzzaman, Md., et al.
Published: (2025)
FiLo++: Zero-/Few-Shot Anomaly Detection by Fused Fine-Grained Descriptions and Deformable Localization
by: Gu, Zhaopeng, et al.
Published: (2025)
by: Gu, Zhaopeng, et al.
Published: (2025)
FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization
by: Gu, Zhaopeng, et al.
Published: (2024)
by: Gu, Zhaopeng, et al.
Published: (2024)
Fine-Grained Zero-Shot Object Detection
by: Ma, Hongxu, et al.
Published: (2025)
by: Ma, Hongxu, et al.
Published: (2025)
fine-CLIP: Enhancing Zero-Shot Fine-Grained Surgical Action Recognition with Vision-Language Models
by: Sharma, Saurav, et al.
Published: (2025)
by: Sharma, Saurav, et al.
Published: (2025)
AnomalyPainter: Vision-Language-Diffusion Synergy for Zero-Shot Realistic and Diverse Industrial Anomaly Synthesis
by: Lai, Zhangyu, et al.
Published: (2025)
by: Lai, Zhangyu, et al.
Published: (2025)
Enhancing Zero-Shot Brain Tumor Subtype Classification via Fine-Grained Patch-Text Alignment
by: Gan, Lubin, et al.
Published: (2025)
by: Gan, Lubin, et al.
Published: (2025)
Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
by: Cui, Chenhang, et al.
Published: (2024)
by: Cui, Chenhang, et al.
Published: (2024)
VisualAD: Language-Free Zero-Shot Anomaly Detection via Vision Transformer
by: Hou, Yanning, et al.
Published: (2026)
by: Hou, Yanning, et al.
Published: (2026)
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation
by: Li, Yunheng, et al.
Published: (2024)
by: Li, Yunheng, et al.
Published: (2024)
ViP$^2$-CLIP: Visual-Perception Prompting with Unified Alignment for Zero-Shot Anomaly Detection
by: Yang, Ziteng, et al.
Published: (2025)
by: Yang, Ziteng, et al.
Published: (2025)
FB-CLIP: Fine-Grained Zero-Shot Anomaly Detection with Foreground-Background Disentanglement
by: Hu, Ming, et al.
Published: (2026)
by: Hu, Ming, et al.
Published: (2026)
AnomalyVFM -- Transforming Vision Foundation Models into Zero-Shot Anomaly Detectors
by: Fučka, Matic, et al.
Published: (2026)
by: Fučka, Matic, et al.
Published: (2026)
Fine-Grained Zero-Shot Composed Image Retrieval with Complementary Visual-Semantic Integration
by: Ye, Yongcong, et al.
Published: (2026)
by: Ye, Yongcong, et al.
Published: (2026)
Unified Vision-Language-Action Model
by: Wang, Yuqi, et al.
Published: (2025)
by: Wang, Yuqi, et al.
Published: (2025)
VETime: Vision Enhanced Zero-Shot Time Series Anomaly Detection
by: Yang, Yingyuan, et al.
Published: (2026)
by: Yang, Yingyuan, et al.
Published: (2026)
Fine-Grained Zero-Shot Learning with Attribute-Centric Representations
by: Chen, Zhi, et al.
Published: (2025)
by: Chen, Zhi, et al.
Published: (2025)
Fine-Grained Zero-Shot Learning: Advances, Challenges, and Prospects
by: Guo, Jingcai, et al.
Published: (2024)
by: Guo, Jingcai, et al.
Published: (2024)
Temporal-Visual Semantic Alignment: A Unified Architecture for Transferring Spatial Priors from Vision Models to Zero-Shot Temporal Tasks
by: Ma, Xiangkai, et al.
Published: (2025)
by: Ma, Xiangkai, et al.
Published: (2025)
Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model
by: Chen, Shiming, et al.
Published: (2025)
by: Chen, Shiming, et al.
Published: (2025)
Anomaly-Aware Vision-Language Adapters for Zero-Shot Anomaly Detection
by: Aqeel, Muhammad, et al.
Published: (2026)
by: Aqeel, Muhammad, et al.
Published: (2026)
Generating Vision-Language Navigation Instructions Incorporated Fine-Grained Alignment Annotations
by: Cui, Yibo, et al.
Published: (2025)
by: Cui, Yibo, et al.
Published: (2025)
VMAD: Visual-enhanced Multimodal Large Language Model for Zero-Shot Anomaly Detection
by: Deng, Huilin, et al.
Published: (2024)
by: Deng, Huilin, et al.
Published: (2024)
A Unified Reasoning Framework for Holistic Zero-Shot Video Anomaly Analysis
by: Lin, Dongheng, et al.
Published: (2025)
by: Lin, Dongheng, et al.
Published: (2025)
UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding
by: Wang, Zhecan, et al.
Published: (2023)
by: Wang, Zhecan, et al.
Published: (2023)
Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training
by: Qiu, Longtian, et al.
Published: (2024)
by: Qiu, Longtian, et al.
Published: (2024)
Training Free Zero-Shot Visual Anomaly Localization via Diffusion Inversion
by: Hicsonmez, Samet, et al.
Published: (2026)
by: Hicsonmez, Samet, et al.
Published: (2026)
Unlocking Vision-Language Models for Video Anomaly Detection via Fine-Grained Prompting
by: Zou, Shu, et al.
Published: (2025)
by: Zou, Shu, et al.
Published: (2025)
Decomposed Vision-Language Alignment for Fine-Grained Open-Vocabulary Segmentation
by: Wang, Chenhao, et al.
Published: (2026)
by: Wang, Chenhao, et al.
Published: (2026)
Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting
by: Zhu, Xingyu, et al.
Published: (2024)
by: Zhu, Xingyu, et al.
Published: (2024)
Vision-Language Feature Alignment for Road Anomaly Segmentation
by: He, Zhuolin, et al.
Published: (2026)
by: He, Zhuolin, et al.
Published: (2026)
Noise is an Efficient Learner for Zero-Shot Vision-Language Models
by: Imam, Raza, et al.
Published: (2025)
by: Imam, Raza, et al.
Published: (2025)
AD-Copilot: A Vision-Language Assistant for Industrial Anomaly Detection via Visual In-context Comparison
by: Jiang, Xi, et al.
Published: (2026)
by: Jiang, Xi, et al.
Published: (2026)
UniCVR: From Alignment to Reranking for Unified Zero-Shot Composed Visual Retrieval
by: Wen, Haokun, et al.
Published: (2026)
by: Wen, Haokun, et al.
Published: (2026)
Multi-Grained Vision-Language Alignment for Domain Generalized Person Re-Identification
by: Li, Jiachen, et al.
Published: (2026)
by: Li, Jiachen, et al.
Published: (2026)
UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation
by: Zhou, Yue, et al.
Published: (2025)
by: Zhou, Yue, et al.
Published: (2025)
Similar Items
-
Dual-Image Enhanced CLIP for Zero-Shot Anomaly Detection
by: Zhang, Zhaoxiang, et al.
Published: (2024) -
BMAD: Benchmarks for Medical Anomaly Detection
by: Bao, Jinan, et al.
Published: (2023) -
Structural Teacher-Student Normality Learning for Multi-Class Anomaly Detection and Localization
by: Deng, Hanqiu, et al.
Published: (2024) -
Towards Fine-Grained Vision-Language Alignment for Few-Shot Anomaly Detection
by: Fan, Yuanting, et al.
Published: (2025) -
Zero-Shot Fine-Grained Image Classification Using Large Vision-Language Models
by: Atabuzzaman, Md., et al.
Published: (2025)