Correspondence as Video: Test-Time Adaption on SAM2 for Reference Segmentation in the Wild
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Haoran, Li, Zekun, Zhang, Jian, Qi, Lei, Shi, Yinghuan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM with Sub-Class Exploration and Prompt Affinity Mining
by: Wang, Haoran, et al.
Published: (2025)
by: Wang, Haoran, et al.
Published: (2025)
Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation
by: Ma, Qinghe, et al.
Published: (2025)
by: Ma, Qinghe, et al.
Published: (2025)
PanoSAM2: Lightweight Distortion- and Memory-aware Adaptions of SAM2 for 360 Video Object Segmentation
by: Xiao, Dingwen, et al.
Published: (2026)
by: Xiao, Dingwen, et al.
Published: (2026)
Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists
by: Wang, You, et al.
Published: (2025)
by: Wang, You, et al.
Published: (2025)
Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting
by: Yang, Maochen, et al.
Published: (2025)
by: Yang, Maochen, et al.
Published: (2025)
Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation
by: Li, Shumeng, et al.
Published: (2024)
by: Li, Shumeng, et al.
Published: (2024)
Diversity-enhanced Collaborative Mamba for Semi-supervised Medical Image Segmentation
by: Li, Shumeng, et al.
Published: (2025)
by: Li, Shumeng, et al.
Published: (2025)
Unleashing the Power of Intermediate Domains for Mixed Domain Semi-Supervised Medical Image Segmentation
by: Ma, Qinghe, et al.
Published: (2025)
by: Ma, Qinghe, et al.
Published: (2025)
The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation
by: Qiu, Muyang, et al.
Published: (2024)
by: Qiu, Muyang, et al.
Published: (2024)
MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation
by: Rong, Fu, et al.
Published: (2025)
by: Rong, Fu, et al.
Published: (2025)
Diffusion-Based Data Augmentation for Image Recognition: A Systematic Analysis and Evaluation
by: Li, Zekun, et al.
Published: (2026)
by: Li, Zekun, et al.
Published: (2026)
Tarot-SAM3: Training-free SAM3 for Any Referring Expression Segmentation
by: Zhang, Weiming, et al.
Published: (2026)
by: Zhang, Weiming, et al.
Published: (2026)
SSAM: Self-Supervised Association Modeling for Test-Time Adaption
by: Wang, Yaxiong, et al.
Published: (2025)
by: Wang, Yaxiong, et al.
Published: (2025)
RS2-SAM2: Customized SAM2 for Referring Remote Sensing Image Segmentation
by: Rong, Fu, et al.
Published: (2025)
by: Rong, Fu, et al.
Published: (2025)
One Token, Two Fates: A Unified Framework via Vision Token Manipulation Against MLLMs Hallucination
by: Fa, Zhan, et al.
Published: (2026)
by: Fa, Zhan, et al.
Published: (2026)
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization
by: Hu, Jiajun, et al.
Published: (2024)
by: Hu, Jiajun, et al.
Published: (2024)
Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation
by: Cheng, Zihan, et al.
Published: (2025)
by: Cheng, Zihan, et al.
Published: (2025)
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation
by: Ma, Qinghe, et al.
Published: (2024)
by: Ma, Qinghe, et al.
Published: (2024)
SSP-SAM: SAM with Semantic-Spatial Prompt for Referring Expression Segmentation
by: Tang, Wei, et al.
Published: (2026)
by: Tang, Wei, et al.
Published: (2026)
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)
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)
Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image Segmentation
by: Cao, Luyang, et al.
Published: (2025)
by: Cao, Luyang, et al.
Published: (2025)
Exploiting Intermediate Reconstructions in Optical Coherence Tomography for Test-Time Adaption of Medical Image Segmentation
by: Pinetz, Thomas, et al.
Published: (2026)
by: Pinetz, Thomas, et al.
Published: (2026)
VRP-SAM: SAM with Visual Reference Prompt
by: Sun, Yanpeng, et al.
Published: (2024)
by: Sun, Yanpeng, et al.
Published: (2024)
Global-Local Medical SAM Adaptor Based on Full Adaption
by: Wang, Meng, et al.
Published: (2024)
by: Wang, Meng, et al.
Published: (2024)
VideoSAM: Open-World Video Segmentation
by: Guo, Pinxue, et al.
Published: (2024)
by: Guo, Pinxue, et al.
Published: (2024)
CMaP-SAM: Contraction Mapping Prior for SAM-driven Few-shot Segmentation
by: Chen, Shuai, et al.
Published: (2025)
by: Chen, Shuai, et al.
Published: (2025)
Biomedical SAM 2: Segment Anything in Biomedical Images and Videos
by: Yan, Zhiling, et al.
Published: (2024)
by: Yan, Zhiling, et al.
Published: (2024)
ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations
by: Liang, Tianming, et al.
Published: (2025)
by: Liang, Tianming, et al.
Published: (2025)
Generalizable Metric Network for Cross-domain Person Re-identification
by: Qi, Lei, et al.
Published: (2023)
by: Qi, Lei, et al.
Published: (2023)
SETA: Semantic-Aware Token Augmentation for Domain Generalization
by: Guo, Jintao, et al.
Published: (2024)
by: Guo, Jintao, et al.
Published: (2024)
NormAUG: Normalization-guided Augmentation for Domain Generalization
by: Qi, Lei, et al.
Published: (2023)
by: Qi, Lei, et al.
Published: (2023)
MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization
by: Qi, Lei, et al.
Published: (2022)
by: Qi, Lei, et al.
Published: (2022)
Patch-aware Batch Normalization for Improving Cross-domain Robustness
by: Qi, Lei, et al.
Published: (2023)
by: Qi, Lei, et al.
Published: (2023)
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation
by: Guo, Jintao, et al.
Published: (2024)
by: Guo, Jintao, et al.
Published: (2024)
ProSAM: Enhancing the Robustness of SAM-based Visual Reference Segmentation with Probabilistic Prompts
by: Wang, Xiaoqi, et al.
Published: (2025)
by: Wang, Xiaoqi, et al.
Published: (2025)
Evaluating SAM2 for Video Semantic Segmentation
by: Ariff, Syed Hesham Syed, et al.
Published: (2025)
by: Ariff, Syed Hesham Syed, et al.
Published: (2025)
Adapted-MoE: Mixture of Experts with Test-Time Adaption for Anomaly Detection
by: Lei, Tianwu, et al.
Published: (2024)
by: Lei, Tianwu, et al.
Published: (2024)
RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything
by: Xu, Shilin, et al.
Published: (2024)
by: Xu, Shilin, et al.
Published: (2024)
Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D Semi-Supervised Medical Image Segmentation
by: Fa, Zhan, et al.
Published: (2024)
by: Fa, Zhan, et al.
Published: (2024)
Similar Items
-
WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM with Sub-Class Exploration and Prompt Affinity Mining
by: Wang, Haoran, et al.
Published: (2025) -
Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation
by: Ma, Qinghe, et al.
Published: (2025) -
PanoSAM2: Lightweight Distortion- and Memory-aware Adaptions of SAM2 for 360 Video Object Segmentation
by: Xiao, Dingwen, et al.
Published: (2026) -
Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists
by: Wang, You, et al.
Published: (2025) -
Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting
by: Yang, Maochen, et al.
Published: (2025)