SOTAVerified

Segmentation

Papers

Showing 13511375 of 13072 papers

TitleStatusHype
AutoFocusFormer: Image Segmentation off the GridCode1
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic SegmentationCode1
PiClick: Picking the desired mask from multiple candidates in click-based interactive segmentationCode1
Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation ModelCode1
Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic SegmentationCode1
Point-supervised Single-cell Segmentation via Collaborative Knowledge SharingCode1
Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation ModelsCode1
Segment Anything Model for Medical Image Analysis: an Experimental StudyCode1
MetaBEV: Solving Sensor Failures for BEV Detection and Map SegmentationCode1
PointDC:Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel ClusteringCode1
Fibroglandular Tissue Segmentation in Breast MRI using Vision Transformers -- A multi-institutional evaluationCode1
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual GroupingCode1
Delving into Shape-aware Zero-shot Semantic SegmentationCode1
Can SAM Segment Polyps?Code1
An Instance Segmentation Dataset of Yeast Cells in MicrostructuresCode1
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image SegmentationCode1
Robust thalamic nuclei segmentation from T1-weighted MRICode1
TUM-FAÇADE: Reviewing and enriching point cloud benchmarks for façade segmentationCode1
Boosting Video Object Segmentation via Space-time Correspondence LearningCode1
Segment Everything Everywhere All at OnceCode1
Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss FunctionCode1
Leveraging triplet loss for unsupervised action segmentationCode1
A Closer Look at the Explainability of Contrastive Language-Image Pre-trainingCode1
Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guideCode1
Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world ApplicationsCode1
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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