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Segmentation

Papers

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Showing 9176–9200 of 13072 papers

TitleStatusHype
Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach—0
Retinal Vessel Segmentation Using A New Topological Method—0
Retinal Vessel Segmentation via a Multi-resolution Contextual Network and Adversarial Learning—0
Retinal Vessel Segmentation with Deep Graph and Capsule Reasoning—0
Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks—0
Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models—0
RetSeg: Retention-based Colorectal Polyps Segmentation Network—0
Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations—0
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth—0
Reversible Recursive Instance-level Object Segmentation—0
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection—0
Review of Fruit Tree Image Segmentation—0
Review of wavelet-based unsupervised texture segmentation, advantage of adaptive wavelets—0
Review on Indoor RGB-D Semantic Segmentation with Deep Convolutional Neural Networks—0
Best Practices in Active Learning for Semantic Segmentation—0
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation—0
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation—0
Revisiting Graph Construction for Fast Image Segmentation—0
Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation—0
Revisiting Multi-Scale Feature Fusion for Semantic Segmentation—0
Revisiting Near/Remote Sensing with Geospatial Attention—0
Revisiting speech segmentation and lexicon learning with better features—0
Revisiting Syllables in Language Modelling and their Application on Low-Resource Machine Translation—0
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget—0
RFMask: A Simple Baseline for Human Silhouette Segmentation with Radio Signals—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