SOTAVerified

Segmentation

Papers

Showing 851875 of 13072 papers

TitleStatusHype
Segmentation tool for images of cracksCode1
Temporally Consistent Referring Video Object Segmentation with Hybrid MemoryCode1
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES ChallengeCode1
Clustering Propagation for Universal Medical Image SegmentationCode1
MatchSeg: Towards Better Segmentation via Reference Image MatchingCode1
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model using 3D Whole-body CT ScansCode1
CLIP-VIS: Adapting CLIP for Open-Vocabulary Video Instance SegmentationCode1
Reflectivity Is All You Need!: Advancing LiDAR Semantic SegmentationCode1
Video Object Segmentation with Dynamic Query ModulationCode1
TAG: Guidance-free Open-Vocabulary Semantic SegmentationCode1
Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image SegmentationCode1
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image SegmentationCode1
SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera ImagesCode1
Visual Foundation Models Boost Cross-Modal Unsupervised Domain Adaptation for 3D Semantic SegmentationCode1
Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical FlowCode1
Real-Time Image Segmentation via Hybrid Convolutional-Transformer Architecture SearchCode1
WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide imagesCode1
When Semantic Segmentation Meets Frequency AliasingCode1
Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation ModelsCode1
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised TransformersCode1
Augmenting Efficient Real-time Surgical Instrument Segmentation in Video with Point Tracking and Segment AnythingCode1
Style Blind Domain Generalized Semantic Segmentation via Covariance Alignment and Semantic Consistence Contrastive LearningCode1
Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic SegmentationCode1
DINOv2 based Self Supervised Learning For Few Shot Medical Image SegmentationCode1
Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware LearningCode1
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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