SOTAVerified

Segmentation

Papers

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Showing 3551–3575 of 13072 papers

TitleStatusHype
Segment Anything Model for Brain Tumor Segmentation—0
3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT ImagesCode1
Large Intestine 3D Shape Refinement Using Point Diffusion Models for Digital Phantom Generation—0
TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point cloudsCode1
3D SA-UNet: 3D Spatial Attention UNet with 3D ASPP for White Matter Hyperintensities SegmentationCode0
A Ground Segmentation Method Based on Point Cloud Map for Unstructured Roads—0
On undesired emergent behaviors in compound prostate cancer detection systems—0
Efficient Polyp Segmentation Via Integrity Learning—0
X-PDNet: Accurate Joint Plane Instance Segmentation and Monocular Depth Estimation with Cross-Task Distillation and Boundary CorrectionCode1
Robust Burned Area Delineation through Multitask LearningCode1
Morphologically-Aware Consensus Computation via Heuristics-based IterATive Optimization (MACCHIatO)—0
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement—0
Temporal-aware Hierarchical Mask Classification for Video Semantic SegmentationCode0
JSMNet Improving Indoor Point Cloud Semantic and Instance Segmentation through Self-Attention and Multiscale—0
Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task—0
SHARM: Segmented Head Anatomical Reference ModelsCode0
Leveraging Foundation models for Unsupervised Audio-Visual Segmentation—0
Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto PromptingCode2
Medical Image Segmentation with Belief Function Theory and Deep Learning—0
Real-Time Semantic Segmentation: A Brief Survey & Comparative Study in Remote Sensing—0
Active Label Refinement for Semantic Segmentation of Satellite Images—0
Action Segmentation Using 2D Skeleton Heatmaps and Multi-Modality Fusion—0
FLDNet: A Foreground-Aware Network for Polyp Segmentation Leveraging Long-Distance Dependencies—0
OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action SegmentationCode0
Improving Generalization Capability of Deep Learning-Based Nuclei Instance Segmentation by Non-deterministic Train Time and Deterministic Test Time Stain Normalization—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