Segment Anything for Video: A Comprehensive Review of Video Object Segmentation and Tracking from Past to Future
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Guoping, Udupa, Jayaram K., Yu, Yajun, Shao, Hua-Chieh, Zhao, Songlin, Liu, Wei, Zhang, You |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TSMS-SAM2: Multi-scale Temporal Sampling Augmentation and Memory-Splitting Pruning for Promptable Video Object Segmentation and Tracking in Surgical Scenarios
by: Xu, Guoping, et al.
Published: (2025)
by: Xu, Guoping, et al.
Published: (2025)
Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2
by: Xu, Guoping, et al.
Published: (2025)
by: Xu, Guoping, et al.
Published: (2025)
Adapting Segment Anything Model 3 for Concept-Driven Lesion Segmentation in Medical Images: An Experimental Study
by: Xu, Guoping, et al.
Published: (2026)
by: Xu, Guoping, et al.
Published: (2026)
Exploiting DINOv3-Based Self-Supervised Features for Robust Few-Shot Medical Image Segmentation
by: Xu, Guoping, et al.
Published: (2026)
by: Xu, Guoping, et al.
Published: (2026)
Track Anything Behind Everything: Zero-Shot Amodal Video Object Segmentation
by: Hudson, Finlay G. C., et al.
Published: (2024)
by: Hudson, Finlay G. C., et al.
Published: (2024)
A Simple Video Segmenter by Tracking Objects Along Axial Trajectories
by: He, Ju, et al.
Published: (2023)
by: He, Ju, et al.
Published: (2023)
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)
UVOSAM: A Mask-free Paradigm for Unsupervised Video Object Segmentation via Segment Anything Model
by: Zhang, Zhenghao, et al.
Published: (2023)
by: Zhang, Zhenghao, et al.
Published: (2023)
Augmenting Efficient Real-time Surgical Instrument Segmentation in Video with Point Tracking and Segment Anything
by: Wu, Zijian, et al.
Published: (2024)
by: Wu, Zijian, et al.
Published: (2024)
Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos
by: Lin, Weifeng, et al.
Published: (2025)
by: Lin, Weifeng, et al.
Published: (2025)
RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation
by: Li, Yonglin, et al.
Published: (2023)
by: Li, Yonglin, et al.
Published: (2023)
360VOTS: Visual Object Tracking and Segmentation in Omnidirectional Videos
by: Xu, Yinzhe, et al.
Published: (2024)
by: Xu, Yinzhe, et al.
Published: (2024)
Is the medical image segmentation problem solved? A survey of current developments and future directions
by: Xu, Guoping, et al.
Published: (2025)
by: Xu, Guoping, et al.
Published: (2025)
Segment Anything for Cell Tracking
by: Chen, Zhu, et al.
Published: (2025)
by: Chen, Zhu, et al.
Published: (2025)
Segment Anything for Videos: A Systematic Survey
by: Zhang, Chunhui, et al.
Published: (2024)
by: Zhang, Chunhui, et al.
Published: (2024)
Full-Duplex Strategy for Video Object Segmentation
by: Ji, Ge-Peng, et al.
Published: (2021)
by: Ji, Ge-Peng, et al.
Published: (2021)
Online Reasoning Video Object Segmentation
by: Liu, Jinyuan, et al.
Published: (2026)
by: Liu, Jinyuan, et al.
Published: (2026)
Segment Anything with Motion, Geometry, and Semantic Adaptation for Complex Nonlinear Visual Object Tracking
by: Zhu, Deyi, et al.
Published: (2026)
by: Zhu, Deyi, et al.
Published: (2026)
Biomedical SAM 2: Segment Anything in Biomedical Images and Videos
by: Yan, Zhiling, et al.
Published: (2024)
by: Yan, Zhiling, et al.
Published: (2024)
SAM 2: Segment Anything in Images and Videos
by: Ravi, Nikhila, et al.
Published: (2024)
by: Ravi, Nikhila, et al.
Published: (2024)
Referring Video Object Segmentation via Language-aligned Track Selection
by: Kim, Seongchan, et al.
Published: (2024)
by: Kim, Seongchan, et al.
Published: (2024)
FocSAM: Delving Deeply into Focused Objects in Segmenting Anything
by: Huang, You, et al.
Published: (2024)
by: Huang, You, et al.
Published: (2024)
Systematic Evaluation and Guidelines for Segment Anything Model in Surgical Video Analysis
by: Yuan, Cheng, et al.
Published: (2024)
by: Yuan, Cheng, et al.
Published: (2024)
MESA: Matching Everything by Segmenting Anything
by: Zhang, Yesheng, et al.
Published: (2024)
by: Zhang, Yesheng, et al.
Published: (2024)
Scalable Video Object Segmentation with Identification Mechanism
by: Yang, Zongxin, et al.
Published: (2022)
by: Yang, Zongxin, et al.
Published: (2022)
SDI-Paste: Synthetic Dynamic Instance Copy-Paste for Video Instance Segmentation
by: Shrestha, Sahir, et al.
Published: (2024)
by: Shrestha, Sahir, et al.
Published: (2024)
Matching Anything by Segmenting Anything
by: Li, Siyuan, et al.
Published: (2024)
by: Li, Siyuan, 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)
Long-RVOS: A Comprehensive Benchmark for Long-term Referring Video Object Segmentation
by: Liang, Tianming, et al.
Published: (2025)
by: Liang, Tianming, et al.
Published: (2025)
Putting the Object Back into Video Object Segmentation
by: Cheng, Ho Kei, et al.
Published: (2023)
by: Cheng, Ho Kei, et al.
Published: (2023)
Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation
by: Zhu, Zixin, et al.
Published: (2024)
by: Zhu, Zixin, et al.
Published: (2024)
SAM-PD: How Far Can SAM Take Us in Tracking and Segmenting Anything in Videos by Prompt Denoising
by: Zhou, Tao, et al.
Published: (2024)
by: Zhou, Tao, et al.
Published: (2024)
SAM2-Aug: Prior knowledge-based Augmentation for Target Volume Auto-Segmentation in Adaptive Radiation Therapy Using Segment Anything Model 2
by: Xu, Guoping, et al.
Published: (2025)
by: Xu, Guoping, 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)
Segment Anything, Even Occluded
by: Tai, Wei-En, et al.
Published: (2025)
by: Tai, Wei-En, et al.
Published: (2025)
Enhancing Video Object Segmentation in TrackRAD Using XMem Memory Network
by: Deng, Pengchao, et al.
Published: (2025)
by: Deng, Pengchao, et al.
Published: (2025)
ClickVOS: Click Video Object Segmentation
by: Guo, Pinxue, et al.
Published: (2024)
by: Guo, Pinxue, et al.
Published: (2024)
Adapting Segment Anything Model for Unseen Object Instance Segmentation
by: Cao, Rui, et al.
Published: (2024)
by: Cao, Rui, et al.
Published: (2024)
Robust Promptable Video Object Segmentation
by: Lee, Sohyun, et al.
Published: (2026)
by: Lee, Sohyun, et al.
Published: (2026)
Multi-Granularity Video Object Segmentation
by: Lim, Sangbeom, et al.
Published: (2024)
by: Lim, Sangbeom, et al.
Published: (2024)
Similar Items
-
TSMS-SAM2: Multi-scale Temporal Sampling Augmentation and Memory-Splitting Pruning for Promptable Video Object Segmentation and Tracking in Surgical Scenarios
by: Xu, Guoping, et al.
Published: (2025) -
Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2
by: Xu, Guoping, et al.
Published: (2025) -
Adapting Segment Anything Model 3 for Concept-Driven Lesion Segmentation in Medical Images: An Experimental Study
by: Xu, Guoping, et al.
Published: (2026) -
Exploiting DINOv3-Based Self-Supervised Features for Robust Few-Shot Medical Image Segmentation
by: Xu, Guoping, et al.
Published: (2026) -
Track Anything Behind Everything: Zero-Shot Amodal Video Object Segmentation
by: Hudson, Finlay G. C., et al.
Published: (2024)