SOTAVerified

Segmentation

Papers

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Showing 7176–7200 of 13072 papers

TitleStatusHype
MapSeg: Segmentation guided structured model for online HD map construction—0
MAPUNetR: A Hybrid Vision Transformer and U-Net Architecture for Efficient and Interpretable Medical Image Segmentation—0
Marginal loss and exclusion loss for partially supervised multi-organ segmentation—0
Find my mug: Efficient object search with a mobile robot using semantic segmentation—0
Finding the Most Transferable Tasks for Brain Image Segmentation—0
Marine Saliency Segmenter: Object-Focused Conditional Diffusion with Region-Level Semantic Knowledge Distillation—0
RISAM: Referring Image Segmentation via Mutual-Aware Attention Features—0
Modelling brain lesion volume in patches with CNN-based Poisson Regression—0
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving—0
MONA: Moving Object Detection from Videos Shot by Dynamic Camera—0
MarsSeg: Mars Surface Semantic Segmentation with Multi-level Extractor and Connector—0
Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers—0
Depth-Adapted CNNs for RGB-D Semantic Segmentation—0
Morphology-aware Word-Segmentation in Dialectal Arabic Adaptation of Neural Machine Translation—0
A weakly supervised registration-based framework for prostate segmentation via the combination of statistical shape model and CNN—0
MRAnnotator: multi-Anatomy and many-Sequence MRI segmentation of 44 structures—0
Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation—0
Finding Sub-task Structure with Natural Language Instruction—0
Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis—0
A publicly available vessel segmentation algorithm for SLO images—0
Finding Nano-Ötzi: Semi-Supervised Volume Visualization for Cryo-Electron Tomography—0
CI-Net: Contextual Information for Joint Semantic Segmentation and Depth Estimation—0
Model-Based Robust Adaptive Semantic Segmentation—0
CIDI-Lung-Seg: A Single-Click Annotation Tool for Automatic Delineation of Lungs from CT Scans—0
Finding Berries: Segmentation and Counting of Cranberries using Point Supervision and Shape Priors—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

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