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Segmentation

Papers

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Showing 3551–3600 of 13072 papers

TitleStatusHype
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method—0
Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation—0
Ultrasound segmentation using U-Net: learning from simulated data and testing on real data—0
Delving into Transformer for Incremental Semantic Segmentation—0
Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning—0
A multi-stage semi-supervised learning for ankle fracture classification on CT images—0
EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation—0
Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction—0
Empirical Evaluation of the Segment Anything Model (SAM) for Brain Tumor Segmentation—0
Evolutionary Neural Architecture Search for Retinal Vessel Segmentation—0
Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings—0
Denoising Diffusion Medical Models—0
Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware U-Net—0
Automatic Stroke Lesions Segmentation in Diffusion-Weighted MRI—0
DeepPyramid+: Medical Image Segmentation using Pyramid View Fusion and Deformable Pyramid Reception—0
Automatic Spine Segmentation using Convolutional Neural Network via Redundant Generation of Class Labels for 3D Spine Modeling—0
Active learning using adaptable task-based prioritisation—0
Embodied Uncertainty-Aware Object Segmentation—0
DeepPyram: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos—0
A multilevel thresholding algorithm using Electromagnetism Optimization—0
Deep Probability Segmentation: Are segmentation models probability estimators?—0
Deep Polarization Cues for Transparent Object Segmentation—0
DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency—0
Dense Dual-Path Network for Real-time Semantic Segmentation—0
Automatic Skin Lesion Segmentation using Semi-supervised Learning Technique—0
1st Place Winner of the 2024 Pixel-level Video Understanding in the Wild (CVPR'24 PVUW) Challenge in Video Panoptic Segmentation and Best Long Video Consistency of Video Semantic Segmentation—0
A Versatile Multi-View Framework for LiDAR-based 3D Object Detection with Guidance from Panoptic Segmentation—0
Dense Monocular Motion Segmentation Using Optical Flow and Pseudo Depth Map: A Zero-Shot Approach—0
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation—0
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation—0
A Volumetric Convolutional Neural Network for Brain Tumor Segmentation—0
3D Shape Segmentation with Geometric Deep Learning—0
Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation—0
Deep Patch-based Human Segmentation—0
AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation—0
Dense Segmentation-Aware Descriptors—0
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation—0
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds—0
A Multilayer-Based Framework for Online Background Subtraction with Freely Moving Cameras—0
Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation—0
Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation—0
DeNVeR: Deformable Neural Vessel Representations for Unsupervised Video Vessel Segmentation—0
Depth-Adapted CNNs for RGB-D Semantic Segmentation—0
A weakly supervised registration-based framework for prostate segmentation via the combination of statistical shape model and CNN—0
Deep Neural Patchworks: Coping with Large Segmentation Tasks—0
Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification—0
Automatic size and pose homogenization with spatial transformer network to improve and accelerate pediatric segmentation—0
Embedding Generalized Semantic Knowledge into Few-Shot Remote Sensing Segmentation—0
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation—0
Deep Neural Networks for Automatic Grain-matrix Segmentation in Plane and Cross-polarized Sandstone Photomicrographs—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