SOTAVerified

Segmentation

Papers

Showing 91100 of 13072 papers

TitleStatusHype
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything ModelCode3
A Simple Framework for Open-Vocabulary Segmentation and DetectionCode3
Hi-SAM: Marrying Segment Anything Model for Hierarchical Text SegmentationCode3
Rethinking Evaluation Metrics of Open-Vocabulary SegmentaionCode3
InstanSeg: an embedding-based instance segmentation algorithm optimized for accurate, efficient and portable cell segmentationCode3
Generalized Decoding for Pixel, Image, and LanguageCode3
ConceptAttention: Diffusion Transformers Learn Highly Interpretable FeaturesCode3
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masksCode3
FDA: Fourier Domain Adaptation for Semantic SegmentationCode3
Exploring Regional Clues in CLIP for Zero-Shot Semantic SegmentationCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8Unverified
2SAMAverage Precision38.9Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69Unverified