"few-shot segmentation" Papers
13 papers found
Conference
Balancing Conservatism and Aggressiveness: Prototype-Affinity Hybrid Network for Few-Shot Segmentation
Tianyu Zou, Shengwu Xiong, Ruilin Yao et al.
ICCV 2025arXiv:2507.19140
1
citations
Object-level Correlation for Few-Shot Segmentation
chunlin wen, Yu Zhang, Jie Fan et al.
ICCV 2025arXiv:2509.07917
2
citations
SegGraph: Leveraging Graphs of SAM Segments for Few-Shot 3D Part Segmentation
Yueyang Hu, Haiyong Jiang, Haoxuan Song et al.
NEURIPS 2025arXiv:2512.16143
SMITE: Segment Me In TimE
Amirhossein Alimohammadi, Sauradip Nag, Saeid Asgari et al.
ICLR 2025arXiv:2410.18538
7
citations
Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation
Changshuo Wang, Shuting He, Xiang Fang et al.
AAAI 2025paperarXiv:2504.02454
10
citations
WISNet: Pseudo Label Generation on Unbalanced and Patch Annotated Waste Images
Shifan Zhang, Hongzi Zhu, Yinan He et al.
CVPR 2025
1
citations
Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement
Jing Wang, Jiangyun Li, Chen Chen et al.
AAAI 2024paperarXiv:2312.15731
21
citations
AlignDiff: Aligning Diffusion Models for General Few-Shot Segmentation
Ri-Zhao Qiu, Yu-Xiong Wang, Kris Hauser
ECCV 2024
6
citations
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection
Soopil Kim, Sion An, Philip Chikontwe et al.
AAAI 2024paperarXiv:2312.13783
40
citations
Pseudo-Embedding for Generalized Few-Shot Point Cloud Segmentation
Chih-Jung Tsai, Hwann-Tzong Chen, Tyng-Luh Liu
ECCV 2024
Rethinking Few-shot 3D Point Cloud Semantic Segmentation
Zhaochong An, Guolei Sun, Yun Liu et al.
CVPR 2024arXiv:2403.00592
22
citations
Task-Disruptive Background Suppression for Few-Shot Segmentation
Suho Park, SuBeen Lee, Sangeek Hyun et al.
AAAI 2024paperarXiv:2312.15894
12
citations
Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach
Mir Rayat Imtiaz Hossain, Mennatullah Siam, Leonid Sigal et al.
CVPR 2024arXiv:2404.11732
21
citations