:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Meng, Feng, Yarong, Tang, Yongwei, Zhang, Tian, Liang, Yuxin, Lv, Chao
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2409.17486
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation
by: Zhong, Yiheng, et al.
Published: (2025)

Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentation
by: Jiang, Chongcong, et al.
Published: (2026)

ProMISe: Promptable Medical Image Segmentation using SAM
by: Wang, Jinfeng, et al.
Published: (2024)

SAM-Fed: SAM-Guided Federated Semi-Supervised Learning for Medical Image Segmentation
by: Nasirihaghighi, Sahar, et al.
Published: (2025)

MCN-CL: Multimodal Cross-Attention Network and Contrastive Learning for Multimodal Emotion Recognition
by: Li, Feng, et al.
Published: (2025)

BALR-SAM: Boundary-Aware Low-Rank Adaptation of SAM for Resource-Efficient Medical Image Segmentation
by: Liu, Zelin, et al.
Published: (2025)

SAM2 for Image and Video Segmentation: A Comprehensive Survey
by: Jiaxing, Zhang, et al.
Published: (2025)

PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation
by: Yan, Zhonghao, et al.
Published: (2025)

X-SAM: From Segment Anything to Any Segmentation
by: Wang, Hao, et al.
Published: (2025)

MedSAM3: Delving into Segment Anything with Medical Concepts
by: Liu, Anglin, et al.
Published: (2025)

Adapted-MoE: Mixture of Experts with Test-Time Adaption for Anomaly Detection
by: Lei, Tianwu, et al.
Published: (2024)

A Review on Domain Adaption and Generative Adversarial Networks(GANs)
by: Dhawan, Aashish, et al.
Published: (2025)

Context-Aware Weakly Supervised Image Manipulation Localization with SAM Refinement
by: Wang, Xinghao, et al.
Published: (2025)

From Specialist to Generalist: Unlocking SAM's Learning Potential on Unlabeled Medical Images
by: Vu, Vi, et al.
Published: (2026)

EOOD: Entropy-based Out-of-distribution Detection
by: Yang, Guide, et al.
Published: (2025)

X2SAM: Any Segmentation in Images and Videos
by: Wang, Hao, et al.
Published: (2026)

ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models
by: Ayzenberg, Lev, et al.
Published: (2024)

Causal-SAM-LLM: Large Language Models as Causal Reasoners for Robust Medical Segmentation
by: Tang, Tao, et al.
Published: (2025)

FloorSAM: SAM-Guided Floorplan Reconstruction with Semantic-Geometric Fusion
by: Ye, Han, et al.
Published: (2025)

Causal Disentanglement-Inspired Degradation Representation Learning for Full-Reference Image Quality Assessment
by: Zhang, Zhen, et al.
Published: (2026)

SeqSAM: Autoregressive Multiple Hypothesis Prediction for Medical Image Segmentation using SAM
by: Towle, Benjamin, et al.
Published: (2025)

GeoSAM2: Unleashing the Power of SAM2 for 3D Part Segmentation
by: Deng, Ken, et al.
Published: (2025)

LLM Augmented Intervenable Multimodal Adaptor for Post-operative Complication Prediction in Lung Cancer Surgery
by: Pandey, Shubham, et al.
Published: (2026)

SAM Guided Semantic and Motion Changed Region Mining for Remote Sensing Change Captioning
by: Wang, Futian, et al.
Published: (2025)

MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model
by: Niu, Muyao, et al.
Published: (2024)

DescriptorMedSAM: Language-Image Fusion with Multi-Aspect Text Guidance for Medical Image Segmentation
by: Zhang, Wenjie, et al.
Published: (2025)

Challenge Summary U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation
by: Wang, Xin, et al.
Published: (2024)

DuoFormer: Leveraging Hierarchical Visual Representations by Local and Global Attention
by: Tang, Xiaoya, et al.
Published: (2024)

Compress Any Segment Anything Model (SAM)
by: Fan, Juntong, et al.
Published: (2025)

Enhancing Long Video Question Answering with Scene-Localized Frame Grouping
by: Yang, Xuyi, et al.
Published: (2025)

SAM 3D: 3Dfy Anything in Images
by: SAM 3D Team, et al.
Published: (2025)

Robust SAM: On the Adversarial Robustness of Vision Foundation Models
by: Long, Jiahuan, et al.
Published: (2025)

SAM 3: Segment Anything with Concepts
by: Carion, Nicolas, et al.
Published: (2025)

Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation
by: Aleem, Sidra, et al.
Published: (2024)

TV-SAM: Increasing Zero-Shot Segmentation Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation
by: Jiang, Zekun, et al.
Published: (2024)

Representation Learning of Point Cloud Upsampling in Global and Local Inputs
by: Zhang, Tongxu, et al.
Published: (2025)

MIAS-SAM: Medical Image Anomaly Segmentation without thresholding
by: Colussi, Marco, et al.
Published: (2025)

Robust Box Prompt based SAM for Medical Image Segmentation
by: Huang, Yuhao, et al.
Published: (2024)

EfficientSAM3: Progressive Hierarchical Distillation for Video Concept Segmentation from SAM1, 2, and 3
by: Zeng, Chengxi, et al.
Published: (2025)

Intelligent Communication Mixture-of-Experts Boosted-Medical Image Segmentation Foundation Model
by: Zhang, Xinwei, et al.
Published: (2025)