SOTAVerified

Zero Shot Segmentation

Papers

Showing 76100 of 134 papers

TitleStatusHype
Quantifying uncertainty in lung cancer segmentation with foundation models applied to mixed-domain datasets0
AI-Driven Segmentation and Analysis of Microbial Cells0
MRI-CORE: A Foundation Model for Magnetic Resonance Imaging0
Multi-Grained Cross-modal Alignment for Learning Open-vocabulary Semantic Segmentation from Text Supervision0
Assessing Foundational Medical 'Segment Anything' (Med-SAM1, Med-SAM2) Deep Learning Models for Left Atrial Segmentation in 3D LGE MRI0
Open-Vocabulary SAM3D: Towards Training-free Open-Vocabulary 3D Scene Understanding0
Adapting a Segmentation Foundation Model for Medical Image Classification0
Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding0
PanopticRecon: Leverage Open-vocabulary Instance Segmentation for Zero-shot Panoptic Reconstruction0
PaveSAM Segment Anything for Pavement Distress0
Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery0
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets0
Prompt-and-Transfer: Dynamic Class-aware Enhancement for Few-shot Segmentation0
Visual and Text Prompt Segmentation: A Novel Multi-Model Framework for Remote Sensing0
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond0
Resilience of Vision Transformers for Domain Generalisation in the Presence of Out-of-Distribution Noisy Images0
A Simple Framework for Open-Vocabulary Zero-Shot Segmentation0
SAM 2 in Robotic Surgery: An Empirical Evaluation for Robustness and Generalization in Surgical Video Segmentation0
SAM3D: Zero-Shot Semi-Automatic Segmentation in 3D Medical Images with the Segment Anything Model0
SAM for Poultry Science0
SAM-SP: Self-Prompting Makes SAM Great Again0
SANeRF-HQ: Segment Anything for NeRF in High Quality0
SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model0
Segment Anything Meets Semantic Communication0
Zero-shot spatial layout conditioning for text-to-image diffusion models0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Grounded HQ-SAMMean AP49.6Unverified
2Grounded-SAMMean AP46Unverified
3UNINEXTMean AP42.1Unverified
4HIPIEMean AP41.6Unverified
5SANMean AP41.4Unverified
6odiseMean AP38.7Unverified
7OpenSEEDMean AP36.1Unverified
8OpenSDMean AP35.8Unverified
9SGinW_Team (X-Decoder-L)Mean AP32.2Unverified
10SGinW_Team (X-Decoder-B)Mean AP27.7Unverified
#ModelMetricClaimedVerifiedStatus
1COSMOS ViT-B/16mIoU17.7Unverified
2GEM (MetaCLIP)mIoU17.1Unverified
3GEM (CLIP)mIoU15.7Unverified
4CLIPSurgerymIoU12.9Unverified
5MaskCLIPmIoU10.2Unverified