GenCLIP: Generalizing CLIP Prompts for Zero-shot Anomaly Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Kim, Donghyeong, Park, Chaewon, Cho, Suhwan, Lim, Hyeonjeong, Kang, Minseok, Lee, Jungho, Lee, Sangyoun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CMTM: Cross-Modal Token Modulation for Unsupervised Video Object Segmentation
by: Jeon, Inseok, et al.
Published: (2026)
by: Jeon, Inseok, et al.
Published: (2026)
DepthFlow: Exploiting Depth-Flow Structural Correlations for Unsupervised Video Object Segmentation
by: Cho, Suhwan, et al.
Published: (2025)
by: Cho, Suhwan, et al.
Published: (2025)
Cross Pseudo Labeling For Weakly Supervised Video Anomaly Detection
by: Lee, Dayeon, et al.
Published: (2026)
by: Lee, Dayeon, et al.
Published: (2026)
Guided Slot Attention for Unsupervised Video Object Segmentation
by: Lee, Minhyeok, et al.
Published: (2023)
by: Lee, Minhyeok, et al.
Published: (2023)
Improving Unsupervised Video Object Segmentation via Fake Flow Generation
by: Cho, Suhwan, et al.
Published: (2024)
by: Cho, Suhwan, et al.
Published: (2024)
CRiM-GS: Continuous Rigid Motion-Aware Gaussian Splatting from Motion-Blurred Images
by: Lee, Jungho, et al.
Published: (2024)
by: Lee, Jungho, et al.
Published: (2024)
Transforming Static Images Using Generative Models for Video Salient Object Detection
by: Cho, Suhwan, et al.
Published: (2024)
by: Cho, Suhwan, et al.
Published: (2024)
Revisiting Weakly-Supervised Video Scene Graph Generation via Pair Affinity Learning
by: Kang, Minseok, et al.
Published: (2026)
by: Kang, Minseok, et al.
Published: (2026)
TransFlow: Motion Knowledge Transfer from Video Diffusion Models to Video Salient Object Detection
by: Cho, Suhwan, et al.
Published: (2025)
by: Cho, Suhwan, et al.
Published: (2025)
CoMoGaussian: Continuous Motion-Aware Gaussian Splatting from Motion-Blurred Images
by: Lee, Jungho, et al.
Published: (2025)
by: Lee, Jungho, et al.
Published: (2025)
Empower Words: DualGround for Structured Phrase and Sentence-Level Temporal Grounding
by: Kang, Minseok, et al.
Published: (2025)
by: Kang, Minseok, et al.
Published: (2025)
Find First, Track Next: Decoupling Identification and Propagation in Referring Video Object Segmentation
by: Cho, Suhwan, et al.
Published: (2025)
by: Cho, Suhwan, et al.
Published: (2025)
STATIC : Surface Temporal Affine for TIme Consistency in Video Monocular Depth Estimation
by: Yang, Sunghun, et al.
Published: (2024)
by: Yang, Sunghun, et al.
Published: (2024)
MoRGS: Efficient Per-Gaussian Motion Reasoning for Streamable Dynamic 3D Scenes
by: Lee, Wonjoon, et al.
Published: (2026)
by: Lee, Wonjoon, et al.
Published: (2026)
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2023)
by: Zhou, Qihang, et al.
Published: (2023)
Sparse-DeRF: Deblurred Neural Radiance Fields from Sparse View
by: Lee, Dogyoon, et al.
Published: (2024)
by: Lee, Dogyoon, et al.
Published: (2024)
Seen-to-Scene: Keep the Seen, Generate the Unseen for Video Outpainting
by: Jeon, Inseok, et al.
Published: (2026)
by: Jeon, Inseok, et al.
Published: (2026)
OTT-Vid: Optimal Transport Temporal Token Compression for Video Large Language Models
by: Kang, Minseok, et al.
Published: (2026)
by: Kang, Minseok, et al.
Published: (2026)
Video Diffusion Models are Strong Video Inpainter
by: Lee, Minhyeok, et al.
Published: (2024)
by: Lee, Minhyeok, et al.
Published: (2024)
TokenCLIP: Token-wise Prompt Learning for Zero-shot Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2025)
by: Zhou, Qihang, et al.
Published: (2025)
AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP
by: Ma, Wenxin, et al.
Published: (2025)
by: Ma, Wenxin, et al.
Published: (2025)
Treating Motion as Option with Output Selection for Unsupervised Video Object Segmentation
by: Cho, Suhwan, et al.
Published: (2023)
by: Cho, Suhwan, et al.
Published: (2023)
SwiftVGGT: A Scalable Visual Geometry Grounded Transformer for Large-Scale Scenes
by: Lee, Jungho, et al.
Published: (2025)
by: Lee, Jungho, 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)
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)
Effective SAM Combination for Open-Vocabulary Semantic Segmentation
by: Lee, Minhyeok, et al.
Published: (2024)
by: Lee, Minhyeok, et al.
Published: (2024)
GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection
by: Ham, Jiyul, et al.
Published: (2024)
by: Ham, Jiyul, et al.
Published: (2024)
Elevating Flow-Guided Video Inpainting with Reference Generation
by: Cho, Suhwan, et al.
Published: (2024)
by: Cho, Suhwan, et al.
Published: (2024)
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)
Tsanet: Temporal and Scale Alignment for Unsupervised Video Object Segmentation
by: Lee, Seunghoon, et al.
Published: (2023)
by: Lee, Seunghoon, et al.
Published: (2023)
MonoCLUE : Object-Aware Clustering Enhances Monocular 3D Object Detection
by: Yang, Sunghun, et al.
Published: (2025)
by: Yang, Sunghun, et al.
Published: (2025)
GS-CLIP: Zero-shot 3D Anomaly Detection by Geometry-Aware Prompt and Synergistic View Representation Learning
by: Deng, Zehao, et al.
Published: (2026)
by: Deng, Zehao, et al.
Published: (2026)
CoCoGaussian: Leveraging Circle of Confusion for Gaussian Splatting from Defocused Images
by: Lee, Jungho, et al.
Published: (2024)
by: Lee, Jungho, et al.
Published: (2024)
Enhancing Zero-Shot Anomaly Detection: CLIP-SAM Collaboration with Cascaded Prompts
by: Hou, Yanning, et al.
Published: (2025)
by: Hou, Yanning, et al.
Published: (2025)
StackCLIP: Clustering-Driven Stacked Prompt in Zero-Shot Industrial Anomaly Detection
by: Hou, Yanning, et al.
Published: (2025)
by: Hou, Yanning, et al.
Published: (2025)
FIMP: Future Interaction Modeling for Multi-Agent Motion Prediction
by: Woo, Sungmin, et al.
Published: (2024)
by: Woo, Sungmin, et al.
Published: (2024)
Unseen No More: Unlocking the Potential of CLIP for Generative Zero-shot HOI Detection
by: Guo, Yixin, et al.
Published: (2024)
by: Guo, Yixin, et al.
Published: (2024)
SMURF: Continuous Dynamics for Motion-Deblurring Radiance Fields
by: Lee, Jungho, et al.
Published: (2024)
by: Lee, Jungho, et al.
Published: (2024)
CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection
by: Chen, Xuhai, et al.
Published: (2023)
by: Chen, Xuhai, et al.
Published: (2023)
Similar Items
-
CMTM: Cross-Modal Token Modulation for Unsupervised Video Object Segmentation
by: Jeon, Inseok, et al.
Published: (2026) -
DepthFlow: Exploiting Depth-Flow Structural Correlations for Unsupervised Video Object Segmentation
by: Cho, Suhwan, et al.
Published: (2025) -
Cross Pseudo Labeling For Weakly Supervised Video Anomaly Detection
by: Lee, Dayeon, et al.
Published: (2026) -
Guided Slot Attention for Unsupervised Video Object Segmentation
by: Lee, Minhyeok, et al.
Published: (2023) -
Improving Unsupervised Video Object Segmentation via Fake Flow Generation
by: Cho, Suhwan, et al.
Published: (2024)