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Segmentation

Papers

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Showing 8151–8175 of 13072 papers

TitleStatusHype
WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation—0
Resolving label uncertainty with implicit generative models—0
Should we Replace CNNs with Transformers for Medical Images?—0
Multipath CNN with alpha matte inference for knee tissue segmentation from MRI—0
Adaptive Generalization for Semantic Segmentation—0
Model-Based Robust Adaptive Semantic Segmentation—0
Self-Supervised Learning for 3D Medical Image Analysis using 3D SimCLR and Monte Carlo Dropout—0
A Compositional Approach to Occlusion in Panoptic Segmentation—0
Unsupervised Domain Adaptation Via Pseudo-labels And Objectness Constraints—0
Improving and Assessing Anomaly Detectors for Large-Scale Settings—0
Utilizing Attention, Linked Blocks, And Pyramid Pooling To Propel Brain Tumor Segmentation In 3DCode0
Contrastive Video-Language Segmentation—0
Comparison of atlas-based and neural-network-based semantic segmentation for DENSE MRI images—0
Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training—0
SegTime: Precise Time Series Segmentation without Sliding Window—0
Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency—0
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation—0
ECG Beat Representation and Delineation by means of Variable Projection—0
An End-to-end Entangled Segmentation and Classification Convolutional Neural Network for Periodontitis Stage Grading from Periapical Radiographic Images—0
Using Soft Labels to Model Uncertainty in Medical Image Segmentation—0
Structure-aware scale-adaptive networks for cancer segmentation in whole-slide imagesCode0
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images—0
Contrastive Learning for Mitochondria Segmentation—0
ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos—0
Understanding Spending Behavior: Recurrent Neural Network Explanation and Interpretation—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