SOTAVerified

Segmentation

Papers

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Showing 8651–8700 of 13072 papers

TitleStatusHype
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications—0
EGFormer: Towards Efficient and Generalizable Multimodal Semantic Segmentation—0
Automatic classification of geologic units in seismic images using partially interpreted examples—0
Egocentric Human Segmentation for Mixed Reality—0
EgoSplat: Open-Vocabulary Egocentric Scene Understanding with Language Embedded 3D Gaussian Splatting—0
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods—0
Enhancing CT Image synthesis from multi-modal MRI data based on a multi-task neural network framework—0
Automatic Cerebral Vessel Extraction in TOF-MRA Using Deep Learning—0
Automatic Breast Ultrasound Image Segmentation: A Survey—0
EigenRank by Committee: A Data Subset Selection and Failure Prediction paradigm for Robust Deep Learning based Medical Image Segmentation—0
A Region-based Randers Geodesic Approach for Image Segmentation—0
EISeg: An Efficient Interactive Segmentation Tool based on PaddlePaddle—0
Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks—0
Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception—0
ELBO-T2IAlign: A Generic ELBO-Based Method for Calibrating Pixel-level Text-Image Alignment in Diffusion Models—0
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction—0
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation—0
ELEV-VISION-SAM: Integrated Vision Language and Foundation Model for Automated Estimation of Building Lowest Floor Elevation—0
EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection—0
ELKPPNet: An Edge-aware Neural Network with Large Kernel Pyramid Pooling for Learning Discriminative Features in Semantic Segmentation—0
Monocular Human Pose and Shape Reconstruction using Part Differentiable Rendering—0
Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation—0
Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Network—0
Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data—0
Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation—0
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