SAM3-UNet: Simplified Adaptation of Segment Anything Model 3
Fuente:
arXiv
Saved in:
| Main Authors: | Xiong, Xinyu, Wu, Zihuang, Lu, Lei, Xia, Yufa |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation
by: Xiong, Xinyu, et al.
Published: (2024)
by: Xiong, Xinyu, et al.
Published: (2024)
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks
by: Xiong, Xinyu, et al.
Published: (2025)
by: Xiong, Xinyu, et al.
Published: (2025)
SAM3-I: Segment Anything with Instructions
by: Li, Jingjing, et al.
Published: (2025)
by: Li, Jingjing, et al.
Published: (2025)
CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model
by: Xiao, Aoran, et al.
Published: (2024)
by: Xiao, Aoran, et al.
Published: (2024)
SAM 3: Segment Anything with Concepts
by: Carion, Nicolas, et al.
Published: (2025)
by: Carion, Nicolas, et al.
Published: (2025)
AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning
by: Huang, Duojun, et al.
Published: (2024)
by: Huang, Duojun, et al.
Published: (2024)
nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance
by: Li, Yunxiang, et al.
Published: (2023)
by: Li, Yunxiang, et al.
Published: (2023)
PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation
by: Rahman, Md Mostafijur, et al.
Published: (2024)
by: Rahman, Md Mostafijur, et al.
Published: (2024)
SAM3-Adapter: Efficient Adaptation of Segment Anything 3 for Camouflage Object Segmentation, Shadow Detection, and Medical Image Segmentation
by: Chen, Tianrun, et al.
Published: (2025)
by: Chen, Tianrun, et al.
Published: (2025)
GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation
by: Lee, Sohyun, et al.
Published: (2025)
by: Lee, Sohyun, et al.
Published: (2025)
PDC-Net: Pattern Divide-and-Conquer Network for Pelvic Radiation Injury Segmentation
by: Xiong, Xinyu, et al.
Published: (2025)
by: Xiong, Xinyu, et al.
Published: (2025)
Compress Any Segment Anything Model (SAM)
by: Fan, Juntong, et al.
Published: (2025)
by: Fan, Juntong, et al.
Published: (2025)
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing Transformer
by: Shao, Xinyuan, et al.
Published: (2024)
by: Shao, Xinyuan, et al.
Published: (2024)
MedSAM3: Delving into Segment Anything with Medical Concepts
by: Liu, Anglin, et al.
Published: (2025)
by: Liu, Anglin, et al.
Published: (2025)
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)
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)
From SAM to SAM 2: Exploring Improvements in Meta's Segment Anything Model
by: Geetha, Athulya Sundaresan, et al.
Published: (2024)
by: Geetha, Athulya Sundaresan, et al.
Published: (2024)
I-MedSAM: Implicit Medical Image Segmentation with Segment Anything
by: Wei, Xiaobao, et al.
Published: (2023)
by: Wei, Xiaobao, et al.
Published: (2023)
MapSAM: Adapting Segment Anything Model for Automated Feature Detection in Historical Maps
by: Xia, Xue, et al.
Published: (2024)
by: Xia, Xue, et al.
Published: (2024)
Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation
by: Ye, Maoyuan, et al.
Published: (2024)
by: Ye, Maoyuan, et al.
Published: (2024)
Continual Learning for Segment Anything Model Adaptation
by: Yang, Jinglong, et al.
Published: (2024)
by: Yang, Jinglong, et al.
Published: (2024)
PaveSAM Segment Anything for Pavement Distress
by: Owor, Neema Jakisa, et al.
Published: (2024)
by: Owor, Neema Jakisa, et al.
Published: (2024)
BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model
by: Song, Yiran, et al.
Published: (2024)
by: Song, Yiran, et al.
Published: (2024)
SAM Meets UAP: Attacking Segment Anything Model With Universal Adversarial Perturbation
by: Han, Dongshen, et al.
Published: (2023)
by: Han, Dongshen, et al.
Published: (2023)
AffordanceSAM: Segment Anything Once More in Affordance Grounding
by: Jiang, Dengyang, et al.
Published: (2025)
by: Jiang, Dengyang, et al.
Published: (2025)
SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model
by: Zhang, Jing, et al.
Published: (2025)
by: Zhang, Jing, et al.
Published: (2025)
TinySAM: Pushing the Envelope for Efficient Segment Anything Model
by: Shu, Han, et al.
Published: (2023)
by: Shu, Han, et al.
Published: (2023)
SAM-DA: UAV Tracks Anything at Night with SAM-Powered Domain Adaptation
by: Fu, Changhong, et al.
Published: (2023)
by: Fu, Changhong, et al.
Published: (2023)
Medical SAM 2: Segment medical images as video via Segment Anything Model 2
by: Zhu, Jiayuan, et al.
Published: (2024)
by: Zhu, Jiayuan, et al.
Published: (2024)
FS-SAM2: Adapting Segment Anything Model 2 for Few-Shot Semantic Segmentation via Low-Rank Adaptation
by: Forni, Bernardo, et al.
Published: (2025)
by: Forni, Bernardo, et al.
Published: (2025)
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
by: Gao, Yifan, et al.
Published: (2023)
by: Gao, Yifan, et al.
Published: (2023)
SAM3D: Segment Anything Model in Volumetric Medical Images
by: Bui, Nhat-Tan, et al.
Published: (2023)
by: Bui, Nhat-Tan, et al.
Published: (2023)
WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images
by: Liu, Hong, et al.
Published: (2024)
by: Liu, Hong, et al.
Published: (2024)
EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model
by: Zhang, Yuxuan, et al.
Published: (2024)
by: Zhang, Yuxuan, et al.
Published: (2024)
RemoteSAM: Towards Segment Anything for Earth Observation
by: Yao, Liang, et al.
Published: (2025)
by: Yao, Liang, et al.
Published: (2025)
PosSAM: Panoptic Open-vocabulary Segment Anything
by: VS, Vibashan, et al.
Published: (2024)
by: VS, Vibashan, et al.
Published: (2024)
MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model
by: Hu, Meiqi, et al.
Published: (2025)
by: Hu, Meiqi, et al.
Published: (2025)
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
by: Kaiser, Timo, et al.
Published: (2025)
by: Kaiser, Timo, et al.
Published: (2025)
TS-SAM: Fine-Tuning Segment-Anything Model for Downstream Tasks
by: Yu, Yang, et al.
Published: (2024)
by: Yu, Yang, et al.
Published: (2024)
PolSAM: Polarimetric Scattering Mechanism Informed Segment Anything Model
by: Wang, Yuqing, et al.
Published: (2024)
by: Wang, Yuqing, et al.
Published: (2024)
Similar Items
-
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation
by: Xiong, Xinyu, et al.
Published: (2024) -
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks
by: Xiong, Xinyu, et al.
Published: (2025) -
SAM3-I: Segment Anything with Instructions
by: Li, Jingjing, et al.
Published: (2025) -
CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model
by: Xiao, Aoran, et al.
Published: (2024) -
SAM 3: Segment Anything with Concepts
by: Carion, Nicolas, et al.
Published: (2025)