SOTAVerified

Segmentation

Papers

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Showing 8051–8075 of 13072 papers

TitleStatusHype
Implicit U-Net for volumetric medical image segmentation—0
Implicit Tubular Surface Generation Guided by Centerline—0
Coresets for k-Segmentation of Streaming Data—0
NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models—0
Native Segmentation Vision Transformers—0
Natural Scene Image Segmentation Based on Multi-Layer Feature Extraction—0
Implicit segmentation of Kannada characters in offline handwriting recognition using hidden Markov models—0
Implicit Ray-Transformers for Multi-view Remote Sensing Image Segmentation—0
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images—0
Navya3DSeg -- Navya 3D Semantic Segmentation Dataset & split generation for autonomous vehicles—0
NCIS: Deep Color Gradient Maps Regression and Three-Class Pixel Classification for Enhanced Neuronal Cell Instance Segmentation in Nissl-Stained Histological Images—0
CoralVOS: Dataset and Benchmark for Coral Video Segmentation—0
Attention Mechanisms in Medical Image Segmentation: A Survey—0
A Group Norm Regularized Factorization Model for Subspace Segmentation—0
Near-optimal Keypoint Sampling for Fast Pathological Lung Segmentation—0
Near Real-time Hippocampus Segmentation Using Patch-based Canonical Neural Network—0
Implementation of a Modified U-Net for Medical Image Segmentation on Edge Devices—0
Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in CT Exams—0
IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of Things—0
Neither Quick Nor Proper -- Evaluation of QuickProp for Learning Deep Neural Networks—0
NeoUNet: Towards accurate colon polyp segmentation and neoplasm detection—0
Attention-guided Unified Network for Panoptic Segmentation—0
A Ground Segmentation Method Based on Point Cloud Map for Unstructured Roads—0
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes—0
A Coarse-to-fine Morphological Approach With Knowledge-based Rules and Self-adapting Correction for Lung Nodules Segmentation—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