Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Haofeng, Zhang, Erli, Wu, Junde, Hong, Mingxuan, Jin, Yueming |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking
by: Liu, Haofeng, et al.
Published: (2025)
by: Liu, Haofeng, et al.
Published: (2025)
SAM2S: Segment Anything in Surgical Videos via Semantic Long-term Tracking
by: Liu, Haofeng, et al.
Published: (2025)
by: Liu, Haofeng, et al.
Published: (2025)
SAM 2 in Robotic Surgery: An Empirical Evaluation for Robustness and Generalization in Surgical Video Segmentation
by: Yu, Jieming, et al.
Published: (2024)
by: Yu, Jieming, et al.
Published: (2024)
Structure Matters: Revisiting Boundary Refinement in Video Object Segmentation
by: Qin, Guanyi, et al.
Published: (2025)
by: Qin, Guanyi, et al.
Published: (2025)
Towards Collective Intelligence: Uncertainty-aware SAM Adaptation for Ambiguous Medical Image Segmentation
by: Jiang, Mingzhou, et al.
Published: (2024)
by: Jiang, Mingzhou, et al.
Published: (2024)
One-Prompt to Segment All Medical Images
by: Wu, Junde, et al.
Published: (2023)
by: Wu, Junde, et al.
Published: (2023)
Spatio-Temporal Representation Decoupling and Enhancement for Federated Instrument Segmentation in Surgical Videos
by: Fang, Zheng, et al.
Published: (2025)
by: Fang, Zheng, et al.
Published: (2025)
Zero-Shot Surgical Tool Segmentation in Monocular Video Using Segment Anything Model 2
by: Lou, Ange, et al.
Published: (2024)
by: Lou, Ange, et al.
Published: (2024)
SASVi -- Segment Any Surgical Video
by: Sivakumar, Ssharvien Kumar, et al.
Published: (2025)
by: Sivakumar, Ssharvien Kumar, et al.
Published: (2025)
Unveiling the Potential of Segment Anything Model 2 for RGB-Thermal Semantic Segmentation with Language Guidance
by: Zhao, Jiayi, et al.
Published: (2025)
by: Zhao, Jiayi, et al.
Published: (2025)
UniSurgSAM: A Unified Promptable Model for Reliable Surgical Video Segmentation
by: Liu, Haofeng, et al.
Published: (2026)
by: Liu, Haofeng, et al.
Published: (2026)
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
by: Gao, Yifan, et al.
Published: (2023)
by: Gao, Yifan, et al.
Published: (2023)
MedUHIP: Towards Human-In-the-Loop Medical Segmentation
by: Zhu, Jiayuan, et al.
Published: (2024)
by: Zhu, Jiayuan, et al.
Published: (2024)
Data-Efficient Learning for Generalizable Surgical Video Understanding
by: Nasirihaghighi, Sahar
Published: (2025)
by: Nasirihaghighi, Sahar
Published: (2025)
SAM3D: Segment Anything Model in Volumetric Medical Images
by: Bui, Nhat-Tan, et al.
Published: (2023)
by: Bui, Nhat-Tan, et al.
Published: (2023)
Exploiting the Segment Anything Model (SAM) for Lung Segmentation in Chest X-ray Images
by: de Carvalho, Gabriel Bellon, et al.
Published: (2024)
by: de Carvalho, Gabriel Bellon, et al.
Published: (2024)
FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images
by: Shen, Yiqing, et al.
Published: (2024)
by: Shen, Yiqing, et al.
Published: (2024)
Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration
by: Lei, Long, et al.
Published: (2024)
by: Lei, Long, et al.
Published: (2024)
MedSAM2: Segment Anything in 3D Medical Images and Videos
by: Ma, Jun, et al.
Published: (2025)
by: Ma, Jun, et al.
Published: (2025)
nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance
by: Li, Yunxiang, et al.
Published: (2023)
by: Li, Yunxiang, et al.
Published: (2023)
MoSAM: Motion-Guided Segment Anything Model with Spatial-Temporal Memory Selection
by: Yang, Qiushi, et al.
Published: (2025)
by: Yang, Qiushi, et al.
Published: (2025)
Real-Time Navigation for Autonomous Aerial Vehicles Using Video
by: Anjum, Khizar, et al.
Published: (2025)
by: Anjum, Khizar, et al.
Published: (2025)
WLTCL: Wide Field-of-View 3-D LiDAR Truck Compartment Automatic Localization System
by: Sun, Guodong, et al.
Published: (2025)
by: Sun, Guodong, et al.
Published: (2025)
SAM-I2I: Unleash the Power of Segment Anything Model for Medical Image Translation
by: Huo, Jiayu, et al.
Published: (2024)
by: Huo, Jiayu, et al.
Published: (2024)
TransKD: Transformer Knowledge Distillation for Efficient Semantic Segmentation
by: Liu, Ruiping, et al.
Published: (2022)
by: Liu, Ruiping, et al.
Published: (2022)
RobustSAM: Segment Anything Robustly on Degraded Images
by: Chen, Wei-Ting, et al.
Published: (2024)
by: Chen, Wei-Ting, et al.
Published: (2024)
SAM3D: Zero-Shot Semi-Automatic Segmentation in 3D Medical Images with the Segment Anything Model
by: Chan, Trevor J., et al.
Published: (2024)
by: Chan, Trevor J., et al.
Published: (2024)
Spannotation: Enhancing Semantic Segmentation for Autonomous Navigation with Efficient Image Annotation
by: Folorunsho, Samuel O., et al.
Published: (2024)
by: Folorunsho, Samuel O., et al.
Published: (2024)
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation
by: Zhu, Jiayuan, et al.
Published: (2024)
by: Zhu, Jiayuan, et al.
Published: (2024)
Segment Anything in Medical Images and Videos: Benchmark and Deployment
by: Ma, Jun, et al.
Published: (2024)
by: Ma, Jun, et al.
Published: (2024)
On the Benefits of Visual Stabilization for Frame- and Event-based Perception
by: Rodriguez-Gomez, Juan Pablo, et al.
Published: (2024)
by: Rodriguez-Gomez, Juan Pablo, et al.
Published: (2024)
SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model
by: Zhang, Dingyuan, et al.
Published: (2023)
by: Zhang, Dingyuan, et al.
Published: (2023)
Surgical-LVLM: Learning to Adapt Large Vision-Language Model for Grounded Visual Question Answering in Robotic Surgery
by: Wang, Guankun, et al.
Published: (2024)
by: Wang, Guankun, et al.
Published: (2024)
Weakly Supervised YOLO Network for Surgical Instrument Localization in Endoscopic Videos
by: Wei, Rongfeng, et al.
Published: (2023)
by: Wei, Rongfeng, et al.
Published: (2023)
PVPUFormer: Probabilistic Visual Prompt Unified Transformer for Interactive Image Segmentation
by: Zhang, Xu, et al.
Published: (2023)
by: Zhang, Xu, et al.
Published: (2023)
Real-time Noise Source Estimation of a Camera System from an Image and Metadata
by: Wischow, Maik, et al.
Published: (2024)
by: Wischow, Maik, et al.
Published: (2024)
Efficient MedSAMs: Segment Anything in Medical Images on Laptop
by: Ma, Jun, et al.
Published: (2024)
by: Ma, Jun, et al.
Published: (2024)
Slot-BERT: Self-supervised Object Discovery in Surgical Video
by: Liao, Guiqiu, et al.
Published: (2025)
by: Liao, Guiqiu, et al.
Published: (2025)
Language-EXtended Indoor SLAM (LEXIS): A Versatile System for Real-time Visual Scene Understanding
by: Kassab, Christina, et al.
Published: (2023)
by: Kassab, Christina, et al.
Published: (2023)
Segment Anything for Histopathology
by: Griebel, Titus, et al.
Published: (2025)
by: Griebel, Titus, et al.
Published: (2025)
Similar Items
-
ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking
by: Liu, Haofeng, et al.
Published: (2025) -
SAM2S: Segment Anything in Surgical Videos via Semantic Long-term Tracking
by: Liu, Haofeng, et al.
Published: (2025) -
SAM 2 in Robotic Surgery: An Empirical Evaluation for Robustness and Generalization in Surgical Video Segmentation
by: Yu, Jieming, et al.
Published: (2024) -
Structure Matters: Revisiting Boundary Refinement in Video Object Segmentation
by: Qin, Guanyi, et al.
Published: (2025) -
Towards Collective Intelligence: Uncertainty-aware SAM Adaptation for Ambiguous Medical Image Segmentation
by: Jiang, Mingzhou, et al.
Published: (2024)