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Segmentation

Papers

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Showing 7726–7750 of 13072 papers

TitleStatusHype
ISDA: Position-Aware Instance Segmentation with Deformable AttentionCode0
Augmentation based unsupervised domain adaptation—0
Nuclei panoptic segmentation and composition regression with multi-task deep neural networks—0
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation—0
A-Eye: Driving with the Eyes of AI for Corner Case Generation—0
An Object Aware Hybrid U-Net for Breast Tumour Annotation—0
OSegNet: Operational Segmentation Network for COVID-19 Detection using Chest X-ray Images—0
PCSCNet: Fast 3D Semantic Segmentation of LiDAR Point Cloud for Autonomous Car using Point Convolution and Sparse Convolution Network—0
An Efficient Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total VariationCode0
Reducing the Gibbs effect in multimodal medical imaging by the Fake Nodes ApproachCode0
SPNet: A novel deep neural network for retinal vessel segmentation based on shared decoder and pyramid-like loss—0
An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation—0
Iterative Learning for Instance Segmentation—0
AF_2: Adaptive Focus Framework for Aerial Imagery Segmentation—0
TraSeTR: Track-to-Segment Transformer with Contrastive Query for Instance-level Instrument Segmentation in Robotic Surgery—0
COMMA: Propagating Complementary Multi-Level Aggregation Network for Polyp Segmentation—0
Shift-Memory Network for Temporal Scene Segmentation—0
Synthetic data for unsupervised polyp segmentationCode0
A General Deep Learning framework for Neuron Instance Segmentation based on Efficient UNet and Morphological Post-processing—0
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation—0
Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks—0
Label fusion and training methods for reliable representation of inter-rater uncertainty—0
Few-shot semantic segmentation via mask aggregationCode0
To what extent can Plug-and-Play methods outperform neural networks alone in low-dose CT reconstruction—0
Task-Adaptive Feature Transformer with Semantic Enrichment for Few-Shot 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