Promptable Foundation Models for SAR Remote Sensing: Adapting the Segment Anything Model for Snow Avalanche Segmentation
Fuente:
arXiv
Guardado en:
| Autores principales: | Gelato, Riccardo, Sgaravatti, Carlo, Grahn, Jakob, Boracchi, Giacomo, Bianchi, Filippo Maria |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Monitoring snow avalanches from SAR data with deep learning
por: Bianchi, Filippo Maria, et al.
Publicado: (2025)
por: Bianchi, Filippo Maria, et al.
Publicado: (2025)
Adapting Segment Anything Model for Change Detection in HR Remote Sensing Images
por: Ding, Lei, et al.
Publicado: (2023)
por: Ding, Lei, et al.
Publicado: (2023)
LCF3D: A Robust and Real-Time Late-Cascade Fusion Framework for 3D Object Detection in Autonomous Driving
por: Sgaravatti, Carlo, et al.
Publicado: (2026)
por: Sgaravatti, Carlo, et al.
Publicado: (2026)
Adapting Vision Foundation Models for Robust Cloud Segmentation in Remote Sensing Images
por: Zou, Xuechao, et al.
Publicado: (2024)
por: Zou, Xuechao, et al.
Publicado: (2024)
Insight Any Instance: Promptable Instance Segmentation for Remote Sensing Images
por: Li, Xuexue
Publicado: (2024)
por: Li, Xuexue
Publicado: (2024)
TASAM: Terrain-and-Aware Segment Anything Model for Temporal-Scale Remote Sensing Segmentation
por: Wang, Tianyang, et al.
Publicado: (2025)
por: Wang, Tianyang, et al.
Publicado: (2025)
ViRefSAM: Visual Reference-Guided Segment Anything Model for Remote Sensing Segmentation
por: Bi, Hanbo, et al.
Publicado: (2025)
por: Bi, Hanbo, et al.
Publicado: (2025)
A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object Detection
por: Sgaravatti, Carlo, et al.
Publicado: (2025)
por: Sgaravatti, Carlo, et al.
Publicado: (2025)
Adapting Segment Anything Model for Unseen Object Instance Segmentation
por: Cao, Rui, et al.
Publicado: (2024)
por: Cao, Rui, et al.
Publicado: (2024)
Adapting Segment Anything Model for Power Transmission Corridor Hazard Segmentation
por: Chen, Hang, et al.
Publicado: (2025)
por: Chen, Hang, et al.
Publicado: (2025)
Semantic Localization Guiding Segment Anything Model For Reference Remote Sensing Image Segmentation
por: Li, Shuyang, et al.
Publicado: (2025)
por: Li, Shuyang, et al.
Publicado: (2025)
PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images
por: Liu, Nanqing, et al.
Publicado: (2024)
por: Liu, Nanqing, et al.
Publicado: (2024)
Compositional Oil Spill Detection Based on Object Detector and Adapted Segment Anything Model from SAR Images
por: Wu, Wenhui, et al.
Publicado: (2024)
por: Wu, Wenhui, et al.
Publicado: (2024)
VFM-ISRefiner: Towards Better Adapting Vision Foundation Models for Interactive Segmentation of Remote Sensing Images
por: Wang, Deliang, et al.
Publicado: (2025)
por: Wang, Deliang, et al.
Publicado: (2025)
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
por: Wu, Junde, et al.
Publicado: (2023)
por: Wu, Junde, et al.
Publicado: (2023)
ClassWise-SAM-Adapter: Parameter Efficient Fine-tuning Adapts Segment Anything to SAR Domain for Semantic Segmentation
por: Pu, Xinyang, et al.
Publicado: (2024)
por: Pu, Xinyang, et al.
Publicado: (2024)
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping
por: Li, Wenwen, et al.
Publicado: (2024)
por: Li, Wenwen, et al.
Publicado: (2024)
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model
por: Xie, Jun, et al.
Publicado: (2024)
por: Xie, Jun, et al.
Publicado: (2024)
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Model
por: Zhang, Song, et al.
Publicado: (2024)
por: Zhang, Song, et al.
Publicado: (2024)
Adapting the Segment Anything Model During Usage in Novel Situations
por: Schön, Robin, et al.
Publicado: (2024)
por: Schön, Robin, et al.
Publicado: (2024)
UV-SAM: Adapting Segment Anything Model for Urban Village Identification
por: Zhang, Xin, et al.
Publicado: (2024)
por: Zhang, Xin, et al.
Publicado: (2024)
RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models
por: Chen, Keyan, et al.
Publicado: (2025)
por: Chen, Keyan, et al.
Publicado: (2025)
Adapting Segment Anything Model to Melanoma Segmentation in Microscopy Slide Images
por: Liu, Qingyuan, et al.
Publicado: (2024)
por: Liu, Qingyuan, et al.
Publicado: (2024)
MultiLink: Multi-class Structure Recovery via Agglomerative Clustering and Model Selection
por: Magri, Luca, et al.
Publicado: (2025)
por: Magri, Luca, et al.
Publicado: (2025)
RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation
por: Li, Yonglin, et al.
Publicado: (2023)
por: Li, Yonglin, et al.
Publicado: (2023)
Text Promptable Surgical Instrument Segmentation with Vision-Language Models
por: Zhou, Zijian, et al.
Publicado: (2023)
por: Zhou, Zijian, et al.
Publicado: (2023)
Robust Promptable Video Object Segmentation
por: Lee, Sohyun, et al.
Publicado: (2026)
por: Lee, Sohyun, et al.
Publicado: (2026)
Seg2Change: Adapting Open-Vocabulary Semantic Segmentation Model for Remote Sensing Change Detection
por: Su, You, et al.
Publicado: (2026)
por: Su, You, et al.
Publicado: (2026)
MapSAM: Adapting Segment Anything Model for Automated Feature Detection in Historical Maps
por: Xia, Xue, et al.
Publicado: (2024)
por: Xia, Xue, et al.
Publicado: (2024)
RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models
por: Chen, Keyan, et al.
Publicado: (2025)
por: Chen, Keyan, et al.
Publicado: (2025)
MM-OVSeg:Multimodal Optical-SAR Fusion for Open-Vocabulary Segmentation in Remote Sensing
por: Wei, Yimin, et al.
Publicado: (2026)
por: Wei, Yimin, et al.
Publicado: (2026)
Explaining Multi-modal Large Language Models by Analyzing their Vision Perception
por: Giulivi, Loris, et al.
Publicado: (2024)
por: Giulivi, Loris, et al.
Publicado: (2024)
RemoteSAM: Towards Segment Anything for Earth Observation
por: Yao, Liang, et al.
Publicado: (2025)
por: Yao, Liang, et al.
Publicado: (2025)
PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts
por: Li, Hao, et al.
Publicado: (2024)
por: Li, Hao, et al.
Publicado: (2024)
Adapting a Segmentation Foundation Model for Medical Image Classification
por: Gu, Pengfei, et al.
Publicado: (2025)
por: Gu, Pengfei, et al.
Publicado: (2025)
WS$^2$: Weakly Supervised Segmentation using Before-After Supervision in Waste Sorting
por: Marelli, Andrea, et al.
Publicado: (2025)
por: Marelli, Andrea, et al.
Publicado: (2025)
SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory
por: Yang, Cheng-Yen, et al.
Publicado: (2024)
por: Yang, Cheng-Yen, et al.
Publicado: (2024)
SU-SAM: A Simple Unified Framework for Adapting Segment Anything Model in Underperformed Scenes
por: Song, Yiran, et al.
Publicado: (2024)
por: Song, Yiran, et al.
Publicado: (2024)
FS-SAM2: Adapting Segment Anything Model 2 for Few-Shot Semantic Segmentation via Low-Rank Adaptation
por: Forni, Bernardo, et al.
Publicado: (2025)
por: Forni, Bernardo, et al.
Publicado: (2025)
Joint-Optimized Unsupervised Adversarial Domain Adaptation in Remote Sensing Segmentation with Prompted Foundation Model
por: Lyu, Shuchang, et al.
Publicado: (2024)
por: Lyu, Shuchang, et al.
Publicado: (2024)
Ejemplares similares
-
Monitoring snow avalanches from SAR data with deep learning
por: Bianchi, Filippo Maria, et al.
Publicado: (2025) -
Adapting Segment Anything Model for Change Detection in HR Remote Sensing Images
por: Ding, Lei, et al.
Publicado: (2023) -
LCF3D: A Robust and Real-Time Late-Cascade Fusion Framework for 3D Object Detection in Autonomous Driving
por: Sgaravatti, Carlo, et al.
Publicado: (2026) -
Adapting Vision Foundation Models for Robust Cloud Segmentation in Remote Sensing Images
por: Zou, Xuechao, et al.
Publicado: (2024) -
Insight Any Instance: Promptable Instance Segmentation for Remote Sensing Images
por: Li, Xuexue
Publicado: (2024)