SOTAVerified

Segmentation

Papers

Showing 26512675 of 13072 papers

TitleStatusHype
BoxSnake: Polygonal Instance Segmentation with Box SupervisionCode1
Development of accurate human head models for personalized electromagnetic dosimetry using deep learningCode1
BoxShrink: From Bounding Boxes to Segmentation MasksCode1
Mask-conditioned latent diffusion for generating gastrointestinal polyp imagesCode1
BoxPolyp:Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box AnnotationsCode1
Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic SegmentationCode1
Mask Grounding for Referring Image SegmentationCode1
Mask Matching Transformer for Few-Shot SegmentationCode1
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patientsCode1
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
MAS-SAM: Segment Any Marine Animal with Aggregated FeaturesCode1
ASPS: Augmented Segment Anything Model for Polyp SegmentationCode1
Correlation-Aware Mutual Learning for Semi-supervised Medical Image SegmentationCode1
ASP-VMUNet: Atrous Shifted Parallel Vision Mamba U-Net for Skin Lesion SegmentationCode1
MatSAM: Efficient Extraction of Microstructures of Materials via Visual Large ModelCode1
Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19Code1
A Simple Video Segmenter by Tracking Objects Along Axial TrajectoriesCode1
Detection-segmentation convolutional neural network for autonomous vehicle perceptionCode1
mc-BEiT: Multi-choice Discretization for Image BERT Pre-trainingCode1
3D Indoor Instance Segmentation in an Open-WorldCode1
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation DatasetsCode1
Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotationsCode1
Detecting Anomalies in Semantic Segmentation with PrototypesCode1
DeVIS: Making Deformable Transformers Work for Video Instance SegmentationCode1
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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