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Segmentation

Papers

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Showing 8676–8700 of 13072 papers

TitleStatusHype
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks—0
Automatic brain tissue segmentation in fetal MRI using convolutional neural networks—0
Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net—0
Embedding Generalized Semantic Knowledge into Few-Shot Remote Sensing Segmentation—0
MultiPly: Reconstruction of Multiple People from Monocular Video in the Wild—0
Multi Projection Fusion for Real-time Semantic Segmentation of 3D LiDAR Point Clouds—0
Embodied Uncertainty-Aware Object Segmentation—0
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation—0
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes using High-Resolution Neural EM Data—0
Automatic Animation of Hair Blowing in Still Portrait Photos—0
EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks—0
EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation—0
EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models—0
Automatic and Manual Segmentation of Hippocampus in Epileptic Patients MRI—0
Automatically Tailoring Unsupervised Morphological Segmentation to the Language—0
EM-NET: Centerline-Aware Mitochondria Segmentation in EM Images via Hierarchical View-Ensemble Convolutional Network—0
Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss—0
EmoSEM: Segment and Explain Emotion Stimuli in Visual Art—0
Automatically Segmenting Oral History Transcripts—0
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging—0
Empirical Evaluation of the Segment Anything Model (SAM) for Brain Tumor Segmentation—0
Multi-Prompt Fine-Tuning of Foundation Models for Enhanced Medical Image Segmentation—0
Employing Multi-Estimations for Weakly-Supervised Semantic Segmentation—0
Employing Weak Annotations for Medical Image Analysis Problems—0
A Bottom Up Procedure for Text Line Segmentation of Latin Script—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