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Segmentation

Papers

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Showing 2751–2775 of 13072 papers

TitleStatusHype
An Automated Real-Time Approach for Image Processing and Segmentation of Fluoroscopic Images and Videos Using a Single Deep Learning Network—0
SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRICode2
Two-View Topogram-Based Anatomy-Guided CT Reconstruction for Prospective Risk Minimization—0
MAST: Video Polyp Segmentation with a Mixture-Attention Siamese TransformerCode0
DatUS^2: Data-driven Unsupervised Semantic Segmentation with Pre-trained Self-supervised Vision TransformerCode0
ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly SegmentationCode2
Self-Supervised Vision Transformers Are Efficient Segmentation Learners for Imperfect Labels—0
CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-AttentionCode1
Unlocking the Potential: Multi-task Deep Learning for Spaceborne Quantitative Monitoring of Fugitive Methane Plumes—0
Friends Across Time: Multi-Scale Action Segmentation Transformer for Surgical Phase Recognition—0
Consumer-Optimal Segmentation in Multi-Product Markets—0
MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation—0
MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation—0
Exploring Simple Open-Vocabulary Semantic SegmentationCode1
SFC: Shared Feature Calibration in Weakly Supervised Semantic SegmentationCode1
Semi-supervised segmentation of land cover images using nonlinear canonical correlation analysis with multiple features and t-SNE—0
EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models—0
Concealed Object Segmentation with Hierarchical Coherence Modeling—0
DeepCERES: A Deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI—0
Collaborative Position Reasoning Network for Referring Image Segmentation—0
RTA-Former: Reverse Transformer Attention for Polyp SegmentationCode0
CloSe: A 3D Clothing Segmentation Dataset and ModelCode2
Semantic Prompt Learning for Weakly-Supervised Semantic SegmentationCode1
Edge-Enabled Real-time Railway Track Segmentation—0
A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation ModelsCode1
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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