Cover Image

Cycle-Consistency Uncertainty Estimation for Visual Prompting based One-Shot Defect Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Kim, Geonuk
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

UniSpector: Towards Universal Open-set Defect Recognition via Spectral-Contrastive Visual Prompting
by: Kim, Geonuk, et al.
Published: (2026)

Separating Novel Features for Logical Anomaly Detection: A Straightforward yet Effective Approach
by: Lee, Kangil, et al.
Published: (2024)

CycleSAM: Few-Shot Surgical Scene Segmentation with Cycle- and Scene-Consistent Feature Matching
by: Murali, Aditya, et al.
Published: (2024)

Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical Domain
by: Yoon, Hangyul, et al.
Published: (2024)

PrAda: Few-Shot Visual Adaptation for Text-Prompted Segmentation
by: Rosi, Gabriele, et al.
Published: (2026)

Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts
by: De Marinis, Pasquale, et al.
Published: (2024)

One Polyp Identifies All: One-Shot Polyp Segmentation with SAM via Cascaded Priors and Iterative Prompt Evolution
by: Mao, Xinyu, et al.
Published: (2025)

Exploring Cycle Consistency Learning in Interactive Volume Segmentation
by: Liu, Qin, et al.
Published: (2023)

Uncertainty Estimation in Instance Segmentation of Affordances via Bayesian Visual Transformers
by: Mur-Labadia, Lorenzo, et al.
Published: (2026)

CyclePose -- Leveraging Cycle-Consistency for Annotation-Free Nuclei Segmentation in Fluorescence Microscopy
by: Utz, Jonas, et al.
Published: (2025)

Defect-aware Hybrid Prompt Optimization via Progressive Tuning for Zero-Shot Multi-type Anomaly Detection and Segmentation
by: Nazer, Nadeem, et al.
Published: (2025)

Text as Any-Modality for Zero-Shot Classification by Consistent Prompt Tuning
by: Wu, Xiangyu, et al.
Published: (2025)

ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning
by: Kim, Beomyoung, et al.
Published: (2024)

Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation
by: Liu, Xueyu, et al.
Published: (2024)

Attention-Enhanced Prototypical Learning for Few-Shot Infrastructure Defect Segmentation
by: Thrainer, Christina, et al.
Published: (2025)

FCC: Fully Connected Correlation for One-Shot Segmentation
by: Moon, Seonghyeon, et al.
Published: (2024)

Group-On: Boosting One-Shot Segmentation with Supportive Query
by: Zhou, Hanjing, et al.
Published: (2024)

Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images
by: Manna, Siladittya, et al.
Published: (2024)

Estimating Uncertainty in Landslide Segmentation Models
by: Nagendra, Savinay, et al.
Published: (2023)

Unify the Views: View-Consistent Prototype Learning for Few-Shot Segmentation
by: Liu, Hongli, et al.
Published: (2026)

Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation
by: Miao, Juzheng, et al.
Published: (2024)

DevPrompt: Deviation-Based Prompt Learning for One-Normal ShotImage Anomaly Detection
by: Poudineh, Morteza, et al.
Published: (2026)

From Adaptation to Generalization: Adaptive Visual Prompting for Medical Image Segmentation
by: Çetinkaya, Evren, et al.
Published: (2026)

NubbleDrop: A Simple Way to Improve Matching Strategy for Prompted One-Shot Segmentation
by: Xu, Zhiyu, et al.
Published: (2024)

One Shot is Enough for Sequential Infrared Small Target Segmentation
by: Dan, Bingbing, et al.
Published: (2024)

Learning How To Ask: Cycle-Consistency Refines Prompts in Multimodal Foundation Models
by: Diesendruck, Maurice, et al.
Published: (2024)

Uncertainty-Participation Context Consistency Learning for Semi-supervised Semantic Segmentation
by: Yin, Jianjian, et al.
Published: (2024)

Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning
by: Liu, Man, et al.
Published: (2024)

Visual and Semantic Prompt Collaboration for Generalized Zero-Shot Learning
by: Jiang, Huajie, et al.
Published: (2025)

X-Prompt: Multi-modal Visual Prompt for Video Object Segmentation
by: Guo, Pinxue, et al.
Published: (2024)

One Look is Enough: Seamless Patchwise Refinement for Zero-Shot Monocular Depth Estimation on High-Resolution Images
by: Kwon, Byeongjun, et al.
Published: (2025)

Exploring Prompt Alignment with Clinical Factors in Zero-Shot Segmentation VLMs for NSCLC Tumor Segmentation
by: Pai, Suraj, et al.
Published: (2026)

VGGT-360: Geometry-Consistent Zero-Shot Panoramic Depth Estimation
by: Yuan, Jiayi, et al.
Published: (2026)

ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
by: Kahl, Kim-Celine, et al.
Published: (2024)

ProSAM: Enhancing the Robustness of SAM-based Visual Reference Segmentation with Probabilistic Prompts
by: Wang, Xiaoqi, et al.
Published: (2025)

Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification
by: Zhang, Yichi, et al.
Published: (2023)

Few-shot Defect Image Generation based on Consistency Modeling
by: Shi, Qingfeng, et al.
Published: (2024)

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

Zero-Shot Industrial Anomaly Segmentation with Image-Aware Prompt Generation
by: Park, SoYoung, et al.
Published: (2025)

APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation
by: He, Weizhao, et al.
Published: (2024)