SOTAVerified

Zero Shot Segmentation

Papers

Showing 5175 of 134 papers

TitleStatusHype
The Emergence of Objectness: Learning Zero-Shot Segmentation from VideosCode1
TomoSAM: a 3D Slicer extension using SAM for tomography segmentationCode1
TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-ShotCode1
Training-free Object Counting with PromptsCode1
ZegOT: Zero-shot Segmentation Through Optimal Transport of Text PromptsCode1
Zero-Shot Edge Detection with SCESAME: Spectral Clustering-based Ensemble for Segment Anything Model EstimationCode1
Zero-Shot Tree Detection and Segmentation from Aerial Forest ImageryCode1
HOLa: HoloLens Object LabelingCode0
X-Recon: Learning-based Patient-specific High-Resolution CT Reconstruction from Orthogonal X-Ray ImagesCode0
SimSAM: Zero-shot Medical Image Segmentation via Simulated InteractionCode0
PanSAM: Zero-Shot, Prompt-Free Pancreas Segmentation in CT ImagingCode0
3D-PointZshotS: Geometry-Aware 3D Point Cloud Zero-Shot Semantic Segmentation Narrowing the Visual-Semantic GapCode0
PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI EstimationCode0
Zero-Shot Segmentation of Eye Features Using the Segment Anything Model (SAM)Code0
Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation OnlyCode0
OpenSD: Unified Open-Vocabulary Segmentation and DetectionCode0
A Language-Guided Benchmark for Weakly Supervised Open Vocabulary Semantic SegmentationCode0
Quantifying the Limits of Segmentation Foundation Models: Modeling Challenges in Segmenting Tree-Like and Low-Contrast ObjectsCode0
Learning Zero-Shot Material States Segmentation, by Implanting Natural Image Patterns in Synthetic DataCode0
Removing Watermarks with Partial Regeneration using Semantic InformationCode0
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
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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