Image de couverture de livre

GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lee, Sohyun, Gwon, Yeho, Hoyer, Lukas, Kwak, Suha
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Robust Promptable Video Object Segmentation
par: Lee, Sohyun, et autres
Publié: (2026)

Enhancing Cost Efficiency in Active Learning with Candidate Set Query
par: Gwon, Yeho, et autres
Publié: (2025)

FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions
par: Lee, Sohyun, et autres
Publié: (2024)

TestDG: Test-time Domain Generalization for Continual Test-time Adaptation
par: Lee, Sohyun, et autres
Publié: (2025)

Extreme Point Supervised Instance Segmentation
par: Lee, Hyeonjun, et autres
Publié: (2024)

SAM3-UNet: Simplified Adaptation of Segment Anything Model 3
par: Xiong, Xinyu, et autres
Publié: (2025)

FS-SAM2: Adapting Segment Anything Model 2 for Few-Shot Semantic Segmentation via Low-Rank Adaptation
par: Forni, Bernardo, et autres
Publié: (2025)

PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation
par: Rahman, Md Mostafijur, et autres
Publié: (2024)

CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model
par: Xiao, Aoran, et autres
Publié: (2024)

Task-Aware Low-Rank Adaptation of Segment Anything Model
par: Wang, Xuehao, et autres
Publié: (2024)

Active Label Correction for Semantic Segmentation with Foundation Models
par: Kim, Hoyoung, et autres
Publié: (2024)

From SAM to SAM 2: Exploring Improvements in Meta's Segment Anything Model
par: Geetha, Athulya Sundaresan, et autres
Publié: (2024)

SGP-SAM: Self-Gated Prompting for Transferring 3D Segment Anything Models to Lesion Segmentation
par: Tang, Zixuan, et autres
Publié: (2026)

RePL: Pseudo-label Refinement for Semi-supervised LiDAR Semantic Segmentation
par: Kwon, Donghyeon, et autres
Publié: (2026)

Learning Audio-guided Video Representation with Gated Attention for Video-Text Retrieval
par: Jeong, Boseung, et autres
Publié: (2025)

Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation
par: Ye, Maoyuan, et autres
Publié: (2024)

ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation
par: Gong, Dayoung, et autres
Publié: (2024)

SAM3-I: Segment Anything with Instructions
par: Li, Jingjing, et autres
Publié: (2025)

PaveSAM Segment Anything for Pavement Distress
par: Owor, Neema Jakisa, et autres
Publié: (2024)

SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model
par: Zhang, Jing, et autres
Publié: (2025)

TinySAM: Pushing the Envelope for Efficient Segment Anything Model
par: Shu, Han, et autres
Publié: (2023)

SAM-DA: UAV Tracks Anything at Night with SAM-Powered Domain Adaptation
par: Fu, Changhong, et autres
Publié: (2023)

Compress Any Segment Anything Model (SAM)
par: Fan, Juntong, et autres
Publié: (2025)

OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation
par: Zhong, Ding, et autres
Publié: (2025)

Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
par: Wu, Junde, et autres
Publié: (2023)

EP-SAM: Weakly Supervised Histopathology Segmentation via Enhanced Prompt with Segment Anything
par: Song, Joonhyeon, et autres
Publié: (2024)

WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images
par: Liu, Hong, et autres
Publié: (2024)

SAM Audio: Segment Anything in Audio
par: Shi, Bowen, et autres
Publié: (2025)

RemoteSAM: Towards Segment Anything for Earth Observation
par: Yao, Liang, et autres
Publié: (2025)

PosSAM: Panoptic Open-vocabulary Segment Anything
par: VS, Vibashan, et autres
Publié: (2024)

SAM3-Adapter: Efficient Adaptation of Segment Anything 3 for Camouflage Object Segmentation, Shadow Detection, and Medical Image Segmentation
par: Chen, Tianrun, et autres
Publié: (2025)

UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
par: Kaiser, Timo, et autres
Publié: (2025)

TS-SAM: Fine-Tuning Segment-Anything Model for Downstream Tasks
par: Yu, Yang, et autres
Publié: (2024)

PolSAM: Polarimetric Scattering Mechanism Informed Segment Anything Model
par: Wang, Yuqing, et autres
Publié: (2024)

UV-SAM: Adapting Segment Anything Model for Urban Village Identification
par: Zhang, Xin, et autres
Publié: (2024)

SAM 3: Segment Anything with Concepts
par: Carion, Nicolas, et autres
Publié: (2025)

S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image Segmentation
par: Paranjape, Jay N., et autres
Publié: (2024)

SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation
par: Trinh, Quoc-Huy, et autres
Publié: (2024)

I-MedSAM: Implicit Medical Image Segmentation with Segment Anything
par: Wei, Xiaobao, et autres
Publié: (2023)

Continual Learning for Segment Anything Model Adaptation
par: Yang, Jinglong, et autres
Publié: (2024)