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Segmentation

Papers

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Showing 9426–9450 of 13072 papers

TitleStatusHype
Accurate Lung Nodules Segmentation with Detailed Representation Transfer and Soft Mask Supervision—0
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation—0
Efficient OCT Image Segmentation Using Neural Architecture Search—0
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic SegmentationCode0
Superpixel Based Graph Laplacian Regularization for Sparse Hyperspectral Unmixing—0
Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds—0
Point-to-set distance functions for weakly supervised segmentation—0
Self-Expressing Autoencoders for Unsupervised Spoken Term Discovery—0
MirrorNet: Bio-Inspired Camouflaged Object Segmentation—0
A deep learning based multiscale approach to segment cancer area in liver whole slide image—0
Machine-learned Regularization and Polygonization of Building Segmentation Masks—0
COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-NetCode0
Autonomous Removal of Perspective Distortion of Elevator Button Images based on Corner Detection—0
A weakly supervised registration-based framework for prostate segmentation via the combination of statistical shape model and CNN—0
Greenhouse Segmentation on High-Resolution Optical Satellite Imagery using Deep Learning Techniques—0
End-to-End Trainable Deep Active Contour Models for Automated Image Segmentation: Delineating Buildings in Aerial Imagery—0
MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint—0
Human-Centered Unsupervised Segmentation Fusion—0
Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation—0
Deep Learning Based Segmentation of Various Brain Lesions for RadiosurgeryCode0
Instance-aware Self-supervised Learning for Nuclei Segmentation—0
Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary Supervised Deep Adversarial LearningCode0
When Classical Chinese Meets Machine Learning: Explaining the Relative Performances of Word and Sentence Segmentation Tasks—0
Segmentation of the Left Ventricle by SDD double threshold selection and CHT—0
Split and Expand: An inference-time improvement for Weakly Supervised Cell Instance 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