Copertina

Promptable Foundation Models for SAR Remote Sensing: Adapting the Segment Anything Model for Snow Avalanche Segmentation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gelato, Riccardo, Sgaravatti, Carlo, Grahn, Jakob, Boracchi, Giacomo, Bianchi, Filippo Maria
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Monitoring snow avalanches from SAR data with deep learning
di: Bianchi, Filippo Maria, et al.
Pubblicazione: (2025)

Adapting Segment Anything Model for Change Detection in HR Remote Sensing Images
di: Ding, Lei, et al.
Pubblicazione: (2023)

LCF3D: A Robust and Real-Time Late-Cascade Fusion Framework for 3D Object Detection in Autonomous Driving
di: Sgaravatti, Carlo, et al.
Pubblicazione: (2026)

Adapting Vision Foundation Models for Robust Cloud Segmentation in Remote Sensing Images
di: Zou, Xuechao, et al.
Pubblicazione: (2024)

Insight Any Instance: Promptable Instance Segmentation for Remote Sensing Images
di: Li, Xuexue
Pubblicazione: (2024)

TASAM: Terrain-and-Aware Segment Anything Model for Temporal-Scale Remote Sensing Segmentation
di: Wang, Tianyang, et al.
Pubblicazione: (2025)

ViRefSAM: Visual Reference-Guided Segment Anything Model for Remote Sensing Segmentation
di: Bi, Hanbo, et al.
Pubblicazione: (2025)

A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object Detection
di: Sgaravatti, Carlo, et al.
Pubblicazione: (2025)

Adapting Segment Anything Model for Unseen Object Instance Segmentation
di: Cao, Rui, et al.
Pubblicazione: (2024)

Adapting Segment Anything Model for Power Transmission Corridor Hazard Segmentation
di: Chen, Hang, et al.
Pubblicazione: (2025)

Semantic Localization Guiding Segment Anything Model For Reference Remote Sensing Image Segmentation
di: Li, Shuyang, et al.
Pubblicazione: (2025)

PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images
di: Liu, Nanqing, et al.
Pubblicazione: (2024)

Compositional Oil Spill Detection Based on Object Detector and Adapted Segment Anything Model from SAR Images
di: Wu, Wenhui, et al.
Pubblicazione: (2024)

VFM-ISRefiner: Towards Better Adapting Vision Foundation Models for Interactive Segmentation of Remote Sensing Images
di: Wang, Deliang, et al.
Pubblicazione: (2025)

Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
di: Wu, Junde, et al.
Pubblicazione: (2023)

ClassWise-SAM-Adapter: Parameter Efficient Fine-tuning Adapts Segment Anything to SAR Domain for Semantic Segmentation
di: Pu, Xinyang, et al.
Pubblicazione: (2024)

Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping
di: Li, Wenwen, et al.
Pubblicazione: (2024)

Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model
di: Xie, Jun, et al.
Pubblicazione: (2024)

ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Model
di: Zhang, Song, et al.
Pubblicazione: (2024)

Adapting the Segment Anything Model During Usage in Novel Situations
di: Schön, Robin, et al.
Pubblicazione: (2024)

UV-SAM: Adapting Segment Anything Model for Urban Village Identification
di: Zhang, Xin, et al.
Pubblicazione: (2024)

RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models
di: Chen, Keyan, et al.
Pubblicazione: (2025)

Adapting Segment Anything Model to Melanoma Segmentation in Microscopy Slide Images
di: Liu, Qingyuan, et al.
Pubblicazione: (2024)

MultiLink: Multi-class Structure Recovery via Agglomerative Clustering and Model Selection
di: Magri, Luca, et al.
Pubblicazione: (2025)

RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation
di: Li, Yonglin, et al.
Pubblicazione: (2023)

Text Promptable Surgical Instrument Segmentation with Vision-Language Models
di: Zhou, Zijian, et al.
Pubblicazione: (2023)

Robust Promptable Video Object Segmentation
di: Lee, Sohyun, et al.
Pubblicazione: (2026)

Seg2Change: Adapting Open-Vocabulary Semantic Segmentation Model for Remote Sensing Change Detection
di: Su, You, et al.
Pubblicazione: (2026)

MapSAM: Adapting Segment Anything Model for Automated Feature Detection in Historical Maps
di: Xia, Xue, et al.
Pubblicazione: (2024)

RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models
di: Chen, Keyan, et al.
Pubblicazione: (2025)

MM-OVSeg:Multimodal Optical-SAR Fusion for Open-Vocabulary Segmentation in Remote Sensing
di: Wei, Yimin, et al.
Pubblicazione: (2026)

Explaining Multi-modal Large Language Models by Analyzing their Vision Perception
di: Giulivi, Loris, et al.
Pubblicazione: (2024)

RemoteSAM: Towards Segment Anything for Earth Observation
di: Yao, Liang, et al.
Pubblicazione: (2025)

PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts
di: Li, Hao, et al.
Pubblicazione: (2024)

Adapting a Segmentation Foundation Model for Medical Image Classification
di: Gu, Pengfei, et al.
Pubblicazione: (2025)

WS$^2$: Weakly Supervised Segmentation using Before-After Supervision in Waste Sorting
di: Marelli, Andrea, et al.
Pubblicazione: (2025)

SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory
di: Yang, Cheng-Yen, et al.
Pubblicazione: (2024)

SU-SAM: A Simple Unified Framework for Adapting Segment Anything Model in Underperformed Scenes
di: Song, Yiran, et al.
Pubblicazione: (2024)

FS-SAM2: Adapting Segment Anything Model 2 for Few-Shot Semantic Segmentation via Low-Rank Adaptation
di: Forni, Bernardo, et al.
Pubblicazione: (2025)

Joint-Optimized Unsupervised Adversarial Domain Adaptation in Remote Sensing Segmentation with Prompted Foundation Model
di: Lyu, Shuchang, et al.
Pubblicazione: (2024)