ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Danhui, Liu, Ziquan, Yang, Chuxi, Wang, Dan, Yan, Yan, Xu, Yi, Ji, Xiangyang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
SemiSAM: Enhancing Semi-Supervised Medical Image Segmentation via SAM-Assisted Consistency Regularization
by: Zhang, Yichi, et al.
Published: (2023)
by: Zhang, Yichi, et al.
Published: (2023)
Conformal Prediction Sets for Instance Segmentation
by: Lu, Kerri, et al.
Published: (2026)
by: Lu, Kerri, et al.
Published: (2026)
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation
by: Yang, Danni, et al.
Published: (2024)
by: Yang, Danni, et al.
Published: (2024)
SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation
by: Zhu, Hongjie, et al.
Published: (2025)
by: Zhu, Hongjie, et al.
Published: (2025)
S^4M: Boosting Semi-Supervised Instance Segmentation with SAM
by: Yoon, Heeji, et al.
Published: (2025)
by: Yoon, Heeji, et al.
Published: (2025)
Zero-Shot Pseudo Labels Generation Using SAM and CLIP for Semi-Supervised Semantic Segmentation
by: Saito, Nagito, et al.
Published: (2025)
by: Saito, Nagito, et al.
Published: (2025)
WPS-SAM: Towards Weakly-Supervised Part Segmentation with Foundation Models
by: Wu, Xinjian, et al.
Published: (2024)
by: Wu, Xinjian, et al.
Published: (2024)
Bidirectional Channel-selective Semantic Interaction for Semi-Supervised Medical Segmentation
by: Huang, Kaiwen, et al.
Published: (2026)
by: Huang, Kaiwen, et al.
Published: (2026)
A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging
by: Xu, Guoping, et al.
Published: (2024)
by: Xu, Guoping, et al.
Published: (2024)
Unlocking the Power of SAM 2 for Few-Shot Segmentation
by: Xu, Qianxiong, et al.
Published: (2025)
by: Xu, Qianxiong, et al.
Published: (2025)
Collaborative Learning for Semi-Supervised LiDAR Semantic Segmentation
by: Yang, Bin, et al.
Published: (2026)
by: Yang, Bin, et al.
Published: (2026)
MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation
by: Liao, Chenfei, et al.
Published: (2025)
by: Liao, Chenfei, et al.
Published: (2025)
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty
by: Mossina, Luca, et al.
Published: (2024)
by: Mossina, Luca, et al.
Published: (2024)
Masked Image Modeling Boosting Semi-Supervised Semantic Segmentation
by: Li, Yangyang, et al.
Published: (2024)
by: Li, Yangyang, et al.
Published: (2024)
Triple-View Knowledge Distillation for Semi-Supervised Semantic Segmentation
by: Li, Ping, et al.
Published: (2023)
by: Li, Ping, et al.
Published: (2023)
SAM-Fed: SAM-Guided Federated Semi-Supervised Learning for Medical Image Segmentation
by: Nasirihaghighi, Sahar, et al.
Published: (2025)
by: Nasirihaghighi, Sahar, et al.
Published: (2025)
OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation
by: Zhong, Ding, et al.
Published: (2025)
by: Zhong, Ding, et al.
Published: (2025)
PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation
by: Xie, Haoyu, et al.
Published: (2024)
by: Xie, Haoyu, et al.
Published: (2024)
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation
by: Pan, Qingtao, et al.
Published: (2024)
by: Pan, Qingtao, et al.
Published: (2024)
SS-ADA: A Semi-Supervised Active Domain Adaptation Framework for Semantic Segmentation
by: Yan, Weihao, et al.
Published: (2024)
by: Yan, Weihao, et al.
Published: (2024)
Few-Shot Semantic Segmentation Meets SAM3
by: Tsai, Yi-Jen, et al.
Published: (2026)
by: Tsai, Yi-Jen, et al.
Published: (2026)
Semantic-Fast-SAM: Efficient Semantic Segmenter
by: Kim, Byunghyun
Published: (2026)
by: Kim, Byunghyun
Published: (2026)
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
by: Wu, Junde, et al.
Published: (2023)
by: Wu, Junde, et al.
Published: (2023)
Evaluating SAM2 for Video Semantic Segmentation
by: Ariff, Syed Hesham Syed, et al.
Published: (2025)
by: Ariff, Syed Hesham Syed, et al.
Published: (2025)
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation
by: Yan, Ke, et al.
Published: (2024)
by: Yan, Ke, et al.
Published: (2024)
Rein++: Efficient Generalization and Adaptation for Semantic Segmentation with Vision Foundation Models
by: Wei, Zhixiang, et al.
Published: (2025)
by: Wei, Zhixiang, et al.
Published: (2025)
Semi-Supervised Semantic Segmentation via Derivative Label Propagation
by: Fu, Yuanbin, et al.
Published: (2025)
by: Fu, Yuanbin, et al.
Published: (2025)
S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensing
by: Lv, Liang, et al.
Published: (2025)
by: Lv, Liang, et al.
Published: (2025)
S$^{5}$Mars: Semi-Supervised Learning for Mars Semantic Segmentation
by: Zhang, Jiahang, et al.
Published: (2022)
by: Zhang, Jiahang, et al.
Published: (2022)
UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
by: Yang, Lihe, et al.
Published: (2024)
by: Yang, Lihe, et al.
Published: (2024)
Depth-Guided Semi-Supervised Instance Segmentation
by: Chen, Xin, et al.
Published: (2024)
by: Chen, Xin, et al.
Published: (2024)
GoodSAM++: Bridging Domain and Capacity Gaps via Segment Anything Model for Panoramic Semantic Segmentation
by: Zhang, Weiming, et al.
Published: (2024)
by: Zhang, Weiming, et al.
Published: (2024)
SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical Segmentation
by: Keuth, Ron, et al.
Published: (2024)
by: Keuth, Ron, et al.
Published: (2024)
Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation
by: Xie, Bin, et al.
Published: (2025)
by: Xie, Bin, et al.
Published: (2025)
SAM4UDASS: When SAM Meets Unsupervised Domain Adaptive Semantic Segmentation in Intelligent Vehicles
by: Yan, Weihao, et al.
Published: (2023)
by: Yan, Weihao, et al.
Published: (2023)
Knowledge Consultation for Semi-Supervised Semantic Segmentation
by: Than, Thuan, et al.
Published: (2025)
by: Than, Thuan, et al.
Published: (2025)
Conformal Prediction for Image Segmentation Using Morphological Prediction Sets
by: Mossina, Luca, et al.
Published: (2025)
by: Mossina, Luca, et al.
Published: (2025)
Iris-SAM: Iris Segmentation Using a Foundation Model
by: Farmanifard, Parisa, et al.
Published: (2024)
by: Farmanifard, Parisa, et al.
Published: (2024)
PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images
by: Liu, Nanqing, et al.
Published: (2024)
by: Liu, Nanqing, et al.
Published: (2024)
Similar Items
-
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
by: Zhang, Yichi, et al.
Published: (2025) -
SemiSAM: Enhancing Semi-Supervised Medical Image Segmentation via SAM-Assisted Consistency Regularization
by: Zhang, Yichi, et al.
Published: (2023) -
Conformal Prediction Sets for Instance Segmentation
by: Lu, Kerri, et al.
Published: (2026) -
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation
by: Yang, Danni, et al.
Published: (2024) -
SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation
by: Zhu, Hongjie, et al.
Published: (2025)