Compress Any Segment Anything Model (SAM)
Fuente:
arXiv
Guardado en:
| Autores principales: | Fan, Juntong, Hao, Zhiwei, Shen, Jianqiang, Jui, Shang-Ling, Zhang, Yi, Liao, Jing-Xiao, Fan, Feng-Lei |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
X-SAM: From Segment Anything to Any Segmentation
por: Wang, Hao, et al.
Publicado: (2025)
por: Wang, Hao, 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)
SparseSAM: Structured Sparsification of Activations in Segment Anything Models
por: Tran, Hoai-Chau, et al.
Publicado: (2026)
por: Tran, Hoai-Chau, et al.
Publicado: (2026)
SAM 3: Segment Anything with Concepts
por: Carion, Nicolas, et al.
Publicado: (2025)
por: Carion, Nicolas, et al.
Publicado: (2025)
Region-Guided Attack on the Segment Anything Model (SAM)
por: Liu, Xiaoliang, et al.
Publicado: (2024)
por: Liu, Xiaoliang, et al.
Publicado: (2024)
MedSAM3: Delving into Segment Anything with Medical Concepts
por: Liu, Anglin, et al.
Publicado: (2025)
por: Liu, Anglin, et al.
Publicado: (2025)
SGP-SAM: Self-Gated Prompting for Transferring 3D Segment Anything Models to Lesion Segmentation
por: Tang, Zixuan, et al.
Publicado: (2026)
por: Tang, Zixuan, et al.
Publicado: (2026)
fabSAM: A Farmland Boundary Delineation Method Based on the Segment Anything Model
por: Xie, Yufeng, et al.
Publicado: (2025)
por: Xie, Yufeng, et al.
Publicado: (2025)
X2SAM: Any Segmentation in Images and Videos
por: Wang, Hao, et al.
Publicado: (2026)
por: Wang, Hao, et al.
Publicado: (2026)
Tracking and Segmenting Anything in Any Modality
por: Zhang, Tianlu, et al.
Publicado: (2025)
por: Zhang, Tianlu, et al.
Publicado: (2025)
AMA-SAM: Adversarial Multi-Domain Alignment of Segment Anything Model for High-Fidelity Histology Nuclei Segmentation
por: Qian, Jiahe, et al.
Publicado: (2025)
por: Qian, Jiahe, et al.
Publicado: (2025)
Q-SAM2: Accurate Quantization for Segment Anything Model 2
por: Farronato, Nicola, et al.
Publicado: (2025)
por: Farronato, Nicola, et al.
Publicado: (2025)
TinySAM 2: Extreme Memory Compression for Efficient Track Anything Model
por: Ding, Zhaoyuan, et al.
Publicado: (2026)
por: Ding, Zhaoyuan, et al.
Publicado: (2026)
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
por: Zhu, Lianghui, et al.
Publicado: (2024)
por: Zhu, Lianghui, et al.
Publicado: (2024)
SAM 2++: Tracking Anything at Any Granularity
por: Zhang, Jiaming, et al.
Publicado: (2025)
por: Zhang, Jiaming, et al.
Publicado: (2025)
CamSAM2: Segment Anything Accurately in Camouflaged Videos
por: Zhou, Yuli, et al.
Publicado: (2025)
por: Zhou, Yuli, et al.
Publicado: (2025)
Segment and Matte Anything in a Unified Model
por: Fan, Zezhong, et al.
Publicado: (2026)
por: Fan, Zezhong, et al.
Publicado: (2026)
SAM 2: Segment Anything in Images and Videos
por: Ravi, Nikhila, et al.
Publicado: (2024)
por: Ravi, Nikhila, et al.
Publicado: (2024)
DeiSAM: Segment Anything with Deictic Prompting
por: Shindo, Hikaru, et al.
Publicado: (2024)
por: Shindo, Hikaru, et al.
Publicado: (2024)
MGD-SAM2: Multi-view Guided Detail-enhanced Segment Anything Model 2 for High-Resolution Class-agnostic Segmentation
por: Shen, Haoran, et al.
Publicado: (2025)
por: Shen, Haoran, et al.
Publicado: (2025)
The SAM2-to-SAM3 Gap in the Segment Anything Model Family: Why Prompt-Based Expertise Fails in Concept-Driven Image Segmentation
por: Sapkota, Ranjan, et al.
Publicado: (2025)
por: Sapkota, Ranjan, et al.
Publicado: (2025)
RemoteSAM: Towards Segment Anything for Earth Observation
por: Yao, Liang, et al.
Publicado: (2025)
por: Yao, Liang, 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)
BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model
por: Song, Yiran, et al.
Publicado: (2024)
por: Song, Yiran, et al.
Publicado: (2024)
InstructSAM: Segment Any Instance with Any Instructions
por: Yuan, Yuqian, et al.
Publicado: (2026)
por: Yuan, Yuqian, et al.
Publicado: (2026)
CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model
por: Xiao, Aoran, et al.
Publicado: (2024)
por: Xiao, Aoran, et al.
Publicado: (2024)
Depth Anything at Any Condition
por: Sun, Boyuan, et al.
Publicado: (2025)
por: Sun, Boyuan, et al.
Publicado: (2025)
SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model
por: Zhang, Jing, et al.
Publicado: (2025)
por: Zhang, Jing, et al.
Publicado: (2025)
SPDA-SAM: A Self-prompted Depth-Aware Segment Anything Model for Instance Segmentation
por: Shang, Yihan, et al.
Publicado: (2026)
por: Shang, Yihan, et al.
Publicado: (2026)
UV-SAM: Adapting Segment Anything Model for Urban Village Identification
por: Zhang, Xin, et al.
Publicado: (2024)
por: Zhang, Xin, et al.
Publicado: (2024)
ClickSAM: Fine-tuning Segment Anything Model using click prompts for ultrasound image segmentation
por: Guo, Aimee, et al.
Publicado: (2024)
por: Guo, Aimee, et al.
Publicado: (2024)
Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation
por: Ye, Maoyuan, et al.
Publicado: (2024)
por: Ye, Maoyuan, et al.
Publicado: (2024)
OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation
por: Zhong, Ding, et al.
Publicado: (2025)
por: Zhong, Ding, et al.
Publicado: (2025)
Zero-Shot Segmentation of Eye Features Using the Segment Anything Model (SAM)
por: Maquiling, Virmarie, et al.
Publicado: (2023)
por: Maquiling, Virmarie, et al.
Publicado: (2023)
SAM Struggles in Concealed Scenes -- Empirical Study on Segment Anything
por: Ji, Ge-Peng, et al.
Publicado: (2023)
por: Ji, Ge-Peng, et al.
Publicado: (2023)
SAM3-UNet: Simplified Adaptation of Segment Anything Model 3
por: Xiong, Xinyu, et al.
Publicado: (2025)
por: Xiong, Xinyu, et al.
Publicado: (2025)
Tarot-SAM3: Training-free SAM3 for Any Referring Expression Segmentation
por: Zhang, Weiming, et al.
Publicado: (2026)
por: Zhang, Weiming, et al.
Publicado: (2026)
EfficientViT-SAM: Accelerated Segment Anything Model Without Accuracy Loss
por: Zhang, Zhuoyang, et al.
Publicado: (2024)
por: Zhang, Zhuoyang, et al.
Publicado: (2024)
RobustSAM: Segment Anything Robustly on Degraded Images
por: Chen, Wei-Ting, et al.
Publicado: (2024)
por: Chen, Wei-Ting, et al.
Publicado: (2024)
Eye image segmentation using visual and concept prompts with Segment Anything Model 3 (SAM3)
por: Niehorster, Diederick C., et al.
Publicado: (2026)
por: Niehorster, Diederick C., et al.
Publicado: (2026)
Ejemplares similares
-
X-SAM: From Segment Anything to Any Segmentation
por: Wang, Hao, et al.
Publicado: (2025) -
RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation
por: Li, Yonglin, et al.
Publicado: (2023) -
SparseSAM: Structured Sparsification of Activations in Segment Anything Models
por: Tran, Hoai-Chau, et al.
Publicado: (2026) -
SAM 3: Segment Anything with Concepts
por: Carion, Nicolas, et al.
Publicado: (2025) -
Region-Guided Attack on the Segment Anything Model (SAM)
por: Liu, Xiaoliang, et al.
Publicado: (2024)