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
Leveraging Large-Scale Pretrained Vision Foundation Models for Label-Efficient 3D Point Cloud Segmentation0
DiNO-Diffusion. Scaling Medical Diffusion via Self-Supervised Pre-Training0
Textile Analysis for Recycling Automation using Transfer Learning and Zero-Shot Foundation Models0
Diffuse Attend and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion0
Holistic Inverse Rendering of Complex Facade via Aerial 3D Scanning0
3D Compositional Zero-shot Learning with DeCompositional Consensus0
Image-to-Lidar Relational Distillation for Autonomous Driving Data0
Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation0
Interpreting the Second-Order Effects of Neurons in CLIP0
kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies0
Consistent Structural Relation Learning for Zero-Shot Segmentation0
Zero-Shot Pupil Segmentation with SAM 2: A Case Study of Over 14 Million Images0
Topological Data Analysis Guided Segment Anything Model Prompt Optimization for Zero-Shot Segmentation in Biological Imaging0
Masked Momentum Contrastive Learning for Zero-shot Semantic Understanding0
SAM vs BET: A Comparative Study for Brain Extraction and Segmentation of Magnetic Resonance Images using Deep Learning0
Boosting Medical Image Classification with Segmentation Foundation Model0
Quantifying uncertainty in lung cancer segmentation with foundation models applied to mixed-domain datasets0
AI-Driven Segmentation and Analysis of Microbial Cells0
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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