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Segmentation

Papers

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Showing 8426–8450 of 13072 papers

TitleStatusHype
Can Super Resolution be used to improve Human Pose Estimation in Low Resolution Scenarios?—0
Label noise in segmentation networks : mitigation must deal with bias—0
A topological solution to object segmentation and tracking—0
VolNet: Estimating Human Body Part Volumes from a Single RGB Image—0
Are standard Object Segmentation models sufficient for Learning Affordance Segmentation?—0
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy—0
EAR-NET: Error Attention Refining Network For Retinal Vessel SegmentationCode0
Pulmonary Vessel Segmentation based on Orthogonal Fused U-Net++ of Chest CT Images—0
Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning—0
LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery VideosCode0
Deep Semantic Segmentation at the Edge for Autonomous Navigation in Vineyard RowsCode0
Scalable Certified Segmentation via Randomized SmoothingCode0
Supervised Segmentation with Domain Adaptation for Small Sampled Orbital CT Images—0
Unsupervised Image Segmentation by Mutual Information Maximization and Adversarial Regularization—0
Language-Level Semantics Conditioned 3D Point Cloud Segmentation—0
Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint—0
A Conditional Splitting Framework for Efficient Constituency Parsing—0
SOLO: A Simple Framework for Instance Segmentation—0
Fast whole-slide cartography in colon cancer histology using superpixels and CNN classification—0
Single-Step Adversarial Training for Semantic Segmentation—0
Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast EchocardiographyCode0
IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement—0
Recent Advances in Fibrosis and Scar Segmentation from Cardiac MRI: A State-of-the-Art Review and Future Perspectives—0
On Improving an Already Competitive Segmentation Algorithm for the Cell Tracking Challenge - Lessons Learned—0
Residual Moment Loss for Medical Image 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