Cover Image

Contour Field based Elliptical Shape Prior for the Segment Anything Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Xinyu, Liu, Jun, Wang, Faqiang, Cui, Li, Duan, Yuping
Format:	Preprint
Published:	2025
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

Continuous-tone Simple Points: An $\ell_0$-Norm of Cyclic Gradient for Topology-Preserving Data-Driven Image Segmentation
by: Li, Wenxiao, et al.
Published: (2026)

Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model
by: Xie, Jun, et al.
Published: (2024)

Contour Flow Constraint: Preserving Global Shape Similarity for Deep Learning based Image Segmentation
by: Chen, Shengzhe, et al.
Published: (2025)

Depth Anything with Any Prior
by: Wang, Zehan, et al.
Published: (2025)

Matte Anything: Interactive Natural Image Matting with Segment Anything Models
by: Yao, Jingfeng, et al.
Published: (2023)

Continual Learning for Segment Anything Model Adaptation
by: Yang, Jinglong, et al.
Published: (2024)

Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos
by: Lin, Weifeng, et al.
Published: (2025)

Matching Anything by Segmenting Anything
by: Li, Siyuan, et al.
Published: (2024)

On Efficient Variants of Segment Anything Model: A Survey
by: Sun, Xiaorui, et al.
Published: (2024)

SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement
by: Lin, Yuqi, et al.
Published: (2025)

SAM3-UNet: Simplified Adaptation of Segment Anything Model 3
by: Xiong, Xinyu, et al.
Published: (2025)

Part-aware Prompted Segment Anything Model for Adaptive Segmentation
by: Zhao, Chenhui, et al.
Published: (2024)

Segment and Caption Anything
by: Huang, Xiaoke, et al.
Published: (2023)

CSPENet: Contour-Aware and Saliency Priors Embedding Network for Infrared Small Target Detection
by: Deng, Jiakun, et al.
Published: (2025)

Segment Anything in 3D with Radiance Fields
by: Cen, Jiazhong, et al.
Published: (2023)

Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping
by: Li, Wenwen, et al.
Published: (2024)

Recurrent Generic Contour-based Instance Segmentation with Progressive Learning
by: Feng, Hao, et al.
Published: (2023)

AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning
by: Huang, Duojun, et al.
Published: (2024)

Multi-Sequence Parotid Gland Lesion Segmentation via Expert Text-Guided Segment Anything Model
by: Wu, Zhongyuan, et al.
Published: (2025)

SinkSAM-Net: Knowledge-Driven Self-Supervised Sinkhole Segmentation Using Topographic Priors and Segment Anything Model
by: Rafaeli, Osher, et al.
Published: (2024)

ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation
by: Tran, Minh, et al.
Published: (2024)

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model
by: Huang, Shiqi, et al.
Published: (2025)

MESA: Matching Everything by Segmenting Anything
by: Zhang, Yesheng, et al.
Published: (2024)

Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation
by: Ye, Maoyuan, et al.
Published: (2024)

SPLF-SAM: Self-Prompting Segment Anything Model for Light Field Salient Object Detection
by: Xu, Qiyao, et al.
Published: (2025)

SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model
by: Zhang, Jing, et al.
Published: (2025)

pFedSAM: Personalized Federated Learning of Segment Anything Model for Medical Image Segmentation
by: Wang, Tong, et al.
Published: (2025)

StAR: Segment Anything Reasoner
by: Yun, Seokju, et al.
Published: (2026)

CAR-SAM: Cross-Attention Reconstruction for Post-Training Quantization of the Segment Anything Model
by: Wen, Houji, et al.
Published: (2026)

Score-based Generative Priors Guided Model-driven Network for MRI Reconstruction
by: Qiao, Xiaoyu, et al.
Published: (2024)

Adapting Segment Anything Model for Unseen Object Instance Segmentation
by: Cao, Rui, et al.
Published: (2024)

Learning to Prompt Segment Anything Models
by: Huang, Jiaxing, et al.
Published: (2024)

TinySAM: Pushing the Envelope for Efficient Segment Anything Model
by: Shu, Han, et al.
Published: (2023)

Adapting Segment Anything Model for Power Transmission Corridor Hazard Segmentation
by: Chen, Hang, et al.
Published: (2025)

ASAM: Boosting Segment Anything Model with Adversarial Tuning
by: Li, Bo, et al.
Published: (2024)

SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation
by: Xiong, Xinyu, et al.
Published: (2024)

Boosting Few-Shot Semantic Segmentation Via Segment Anything Model
by: Feng, Chen-Bin, et al.
Published: (2024)

S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image Segmentation
by: Paranjape, Jay N., et al.
Published: (2024)

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything
by: Lee, Yongkyu, et al.
Published: (2024)

MARL-MambaContour: Unleashing Multi-Agent Deep Reinforcement Learning for Active Contour Optimization in Medical Image Segmentation
by: Zhang, Ruicheng, et al.
Published: (2025)