SOTAVerified

Segmentation

Papers

Showing 17511775 of 13072 papers

TitleStatusHype
Active Pointly-Supervised Instance SegmentationCode1
Love Me, Love Me, Say (and Write!) that You Love Me: Enriching the WASABI Song Corpus with Lyrics AnnotationsCode1
CTooth+: A Large-scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume SegmentationCode1
LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud SegmentationCode1
CT Liver Segmentation via PVT-based Encoding and Refined DecodingCode1
Lung-DDPM: Semantic Layout-guided Diffusion Models for Thoracic CT Image SynthesisCode1
Lung Nodule Segmentation and Uncertain Region Prediction with an Uncertainty-Aware Attention MechanismCode1
LuSeg: Efficient Negative and Positive Obstacles Segmentation via Contrast-Driven Multi-Modal Feature Fusion on the LunarCode1
Medical Image Segmentation via Unsupervised Convolutional Neural NetworkCode1
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing ModalitiesCode1
Zero-Shot Semantic SegmentationCode1
AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018Code1
Activity Grammars for Temporal Action SegmentationCode1
MAESTER: Masked Autoencoder Guided Segmentation at Pixel Resolution for Accurate, Self-Supervised Subcellular Structure RecognitionCode1
Making a Case for 3D Convolutions for Object Segmentation in VideosCode1
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic SegmentationCode1
CTNet: Context-based Tandem Network for Semantic SegmentationCode1
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed TomographyCode1
CV 3315 Is All You Need : Semantic Segmentation CompetitionCode1
D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in VideosCode1
MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised SegmentationCode1
MapAI: Precision in Building SegmentationCode1
MAPPING: Model Average with Post-processing for Stroke Lesion SegmentationCode1
Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image SegmentationCode1
CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical ImagingCode1
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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