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SAM-REF: Introducing Image-Prompt Synergy during Interaction for Detail Enhancement in the Segment Anything Model
Arxiv
0+阅读 · 4月3日
SAM-REF: Introducing Image-Prompt Synergy during Interaction for Detail Enhancement in the Segment Anything Model
Arxiv
0+阅读 · 4月2日
BiSeg-SAM: Weakly-Supervised Post-Processing Framework for Boosting Binary Segmentation in Segment Anything Models
Arxiv
0+阅读 · 4月2日
Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models
Arxiv
0+阅读 · 4月1日
MGD-SAM2: Multi-view Guided Detail-enhanced Segment Anything Model 2 for High-Resolution Class-agnostic Segmentation
Arxiv
0+阅读 · 3月31日
AMA-SAM: Adversarial Multi-Domain Alignment of Segment Anything Model for High-Fidelity Histology Nuclei Segmentation
Arxiv
0+阅读 · 3月27日
CamSAM2: Segment Anything Accurately in Camouflaged Videos
Arxiv
0+阅读 · 3月26日
CamSAM2: Segment Anything Accurately in Camouflaged Videos
Arxiv
0+阅读 · 3月25日
EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model
Arxiv
0+阅读 · 3月10日
Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning
Arxiv
0+阅读 · 3月11日
Promoting Segment Anything Model towards Highly Accurate Dichotomous Image Segmentation
Arxiv
0+阅读 · 3月25日
Unveiling the Potential of Segment Anything Model 2 for RGB-Thermal Semantic Segmentation with Language Guidance
Arxiv
0+阅读 · 3月4日
AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model
Arxiv
0+阅读 · 3月5日
SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement
Arxiv
0+阅读 · 2月10日
UrbanSAM: Learning Invariance-Inspired Adapters for Segment Anything Models in Urban Construction
Arxiv
0+阅读 · 2月21日
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