Res$^2$CLIP: Few-Shot Generalist Anomaly Detection with Residual-to-Residual Alignment
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Xinyue, Wang, Jianyuan, Leng, Biao, Zhang, Shuo |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fence off Anomaly Interference: Cross-Domain Distillation for Fully Unsupervised Anomaly Detection
by: Liu, Xinyue, et al.
Published: (2025)
by: Liu, Xinyue, et al.
Published: (2025)
Unlocking the Potential of Reverse Distillation for Anomaly Detection
by: Liu, Xinyue, et al.
Published: (2024)
by: Liu, Xinyue, et al.
Published: (2024)
Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection
by: Liu, Xinyue, et al.
Published: (2024)
by: Liu, Xinyue, et al.
Published: (2024)
Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners
by: Liu, Xinyue, et al.
Published: (2024)
by: Liu, Xinyue, et al.
Published: (2024)
InCTRLv2: Generalist Residual Models for Few-Shot Anomaly Detection and Segmentation
by: Zhu, Jiawen, et al.
Published: (2026)
by: Zhu, Jiawen, et al.
Published: (2026)
Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts
by: Zhu, Jiawen, et al.
Published: (2024)
by: Zhu, Jiawen, et al.
Published: (2024)
ResAD++: Towards Class Agnostic Anomaly Detection via Residual Feature Learning
by: Yao, Xincheng, et al.
Published: (2025)
by: Yao, Xincheng, et al.
Published: (2025)
CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP
by: Zuo, Zuo, et al.
Published: (2024)
by: Zuo, Zuo, et al.
Published: (2024)
ResCLIP: Residual Attention for Training-free Dense Vision-language Inference
by: Yang, Yuhang, et al.
Published: (2024)
by: Yang, Yuhang, et al.
Published: (2024)
Logits DeConfusion with CLIP for Few-Shot Learning
by: Li, Shuo, et al.
Published: (2025)
by: Li, Shuo, et al.
Published: (2025)
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)
MadCLIP: Few-shot Medical Anomaly Detection with CLIP
by: Shiri, Mahshid, et al.
Published: (2025)
by: Shiri, Mahshid, et al.
Published: (2025)
MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection
by: Zhang, Ximiao, et al.
Published: (2024)
by: Zhang, Ximiao, et al.
Published: (2024)
AF-CLIP: Zero-Shot Anomaly Detection via Anomaly-Focused CLIP Adaptation
by: Fang, Qingqing, et al.
Published: (2025)
by: Fang, Qingqing, et al.
Published: (2025)
CLIP3D-AD: Extending CLIP for 3D Few-Shot Anomaly Detection with Multi-View Images Generation
by: Zuo, Zuo, et al.
Published: (2024)
by: Zuo, Zuo, et al.
Published: (2024)
HAAF: Hierarchical Adaptation and Alignment of Foundation Models for Few-Shot Pathology Anomaly Detection
by: Yang, Chunze, et al.
Published: (2026)
by: Yang, Chunze, et al.
Published: (2026)
Dual-Image Enhanced CLIP for Zero-Shot Anomaly Detection
by: Zhang, Zhaoxiang, et al.
Published: (2024)
by: Zhang, Zhaoxiang, et al.
Published: (2024)
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection
by: Cao, Yunkang, et al.
Published: (2024)
by: Cao, Yunkang, et al.
Published: (2024)
ResWorld: Temporal Residual World Model for End-to-End Autonomous Driving
by: Zhang, Jinqing, et al.
Published: (2026)
by: Zhang, Jinqing, et al.
Published: (2026)
Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation
by: Wang, Jin, et al.
Published: (2024)
by: Wang, Jin, et al.
Published: (2024)
Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection
by: Chen, Qiyu, et al.
Published: (2025)
by: Chen, Qiyu, et al.
Published: (2025)
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)
Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers
by: Li, Hanxi, et al.
Published: (2023)
by: Li, Hanxi, et al.
Published: (2023)
Self-Navigated Residual Mamba for Universal Industrial Anomaly Detection
by: Li, Hanxi, et al.
Published: (2025)
by: Li, Hanxi, et al.
Published: (2025)
ResFields: Residual Neural Fields for Spatiotemporal Signals
by: Mihajlovic, Marko, et al.
Published: (2023)
by: Mihajlovic, Marko, et al.
Published: (2023)
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)
PA-CLIP: Enhancing Zero-Shot Anomaly Detection through Pseudo-Anomaly Awareness
by: Pan, Yurui, et al.
Published: (2025)
by: Pan, Yurui, et al.
Published: (2025)
SynA-ResNet: Spike-driven ResNet Achieved through OR Residual Connection
by: Shan, Yimeng, et al.
Published: (2023)
by: Shan, Yimeng, et al.
Published: (2023)
Dual Distillation for Few-Shot Anomaly Detection
by: Dong, Le, et al.
Published: (2026)
by: Dong, Le, et al.
Published: (2026)
Commonality in Few: Few-Shot Multimodal Anomaly Detection via Hypergraph-Enhanced Memory
by: Lin, Yuxuan, et al.
Published: (2025)
by: Lin, Yuxuan, et al.
Published: (2025)
One-Step Diffusion with Inverse Residual Fields for Unsupervised Industrial Anomaly Detection
by: Zhang, Boan, et al.
Published: (2026)
by: Zhang, Boan, et al.
Published: (2026)
Multi-Scale Memory Comparison for Zero-/Few-Shot Anomaly Detection
by: Huang, Chaoqin, et al.
Published: (2023)
by: Huang, Chaoqin, et al.
Published: (2023)
Few-Shot Anomaly Detection via Category-Agnostic Registration Learning
by: Huang, Chaoqin, et al.
Published: (2024)
by: Huang, Chaoqin, et al.
Published: (2024)
HGFormer: Topology-Aware Vision Transformer with HyperGraph Learning
by: Wang, Hao, et al.
Published: (2025)
by: Wang, Hao, et al.
Published: (2025)
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model
by: Hu, Teng, et al.
Published: (2023)
by: Hu, Teng, et al.
Published: (2023)
Beyond Normal References: Discriminative Few-Shot Anomaly Detection
by: Wang, Huan, et al.
Published: (2026)
by: Wang, Huan, et al.
Published: (2026)
Interpreting the Residual Stream of ResNet18
by: Longon, André
Published: (2024)
by: Longon, André
Published: (2024)
AFR-CLIP: Enhancing Zero-Shot Industrial Anomaly Detection with Stateless-to-Stateful Anomaly Feature Rectification
by: Yuan, Jingyi, et al.
Published: (2025)
by: Yuan, Jingyi, et al.
Published: (2025)
AnomalyAgent: Training-Free Agentic Models for Zero-/Few-Shot Anomaly Detection
by: Zhang, Yi, et al.
Published: (2026)
by: Zhang, Yi, et al.
Published: (2026)
ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving
by: Zheng, Zhiyu, et al.
Published: (2025)
by: Zheng, Zhiyu, et al.
Published: (2025)
Similar Items
-
Fence off Anomaly Interference: Cross-Domain Distillation for Fully Unsupervised Anomaly Detection
by: Liu, Xinyue, et al.
Published: (2025) -
Unlocking the Potential of Reverse Distillation for Anomaly Detection
by: Liu, Xinyue, et al.
Published: (2024) -
Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection
by: Liu, Xinyue, et al.
Published: (2024) -
Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners
by: Liu, Xinyue, et al.
Published: (2024) -
InCTRLv2: Generalist Residual Models for Few-Shot Anomaly Detection and Segmentation
by: Zhu, Jiawen, et al.
Published: (2026)