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Segmentation

Papers

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Showing 7401–7450 of 13072 papers

TitleStatusHype
Meta-Learned Feature Critics for Domain Generalized Semantic Segmentation—0
Free-Mask: A Novel Paradigm of Integration Between the Segmentation Diffusion Model and Image Editing to Improve Segmentation Ability—0
Few Exemplar-Based General Medical Image Segmentation via Domain-Aware Selective Adaptation—0
FE-UNet: Frequency Domain Enhanced U-Net with Segment Anything Capability for Versatile Image Segmentation—0
Chan-Vese Attention U-Net: An attention mechanism for robust segmentation—0
Meta Mask Correction for Nuclei Segmentation in Histopathological Image—0
Multi-Feature View-Based Shallow Convolutional Neural Network for Road Segmentation—0
Diffuse Attend and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion—0
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning—0
Fetal Brain Tissue Annotation and Segmentation Challenge Results—0
MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation—0
Meta Segmentation Network for Ultra-Resolution Medical Images—0
Channel Boosted CNN-Transformer-based Multi-Level and Multi-Scale Nuclei Segmentation—0
A Bottom-Up Approach to Class-Agnostic Image Segmentation—0
Multi-feature driven active contour segmentation model for infrared image with intensity inhomogeneity—0
MultiFlow: A unified deep learning framework for multi-vessel classification, segmentation and clustering of phase-contrast MRI validated on a multi-site single ventricle patient cohort—0
Channel Attention Separable Convolution Network for Skin Lesion Segmentation—0
Machine Learning Pipeline for Segmentation and Defect Identification from High Resolution Transmission Electron Microscopy Data—0
Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art—0
Methods for Segmentation and Classification of Digital Microscopy Tissue Images—0
Feedbackward Decoding for Semantic Segmentation—0
Channel and Spatial Relation-Propagation Network for RGB-Thermal Semantic Segmentation—0
Feedback Chain Network For Hippocampus Segmentation—0
Feedback Attention for Cell Image Segmentation—0
Multi-Exit Semantic Segmentation Networks—0
FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation—0
Change Detection Between Optical Remote Sensing Imagery and Map Data via Segment Anything Model (SAM)—0
FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization—0
Application of the Ring Theory in the Segmentation of Digital Images—0
A Novel Deep Learning Based Approach for Left Ventricle Segmentation in Echocardiography: MFP-Unet—0
Multifaceted Assessments of Traditional Chinese Word Segmentation Tool on Large Corpora—0
Multi-focus Image Fusion Based on Similarity Characteristics—0
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging—0
Diffusion Models for Open-Vocabulary Segmentation—0
Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models—0
Multi-domain semantic segmentation with pyramidal fusion—0
DiffVein: A Unified Diffusion Network for Finger Vein Segmentation and Authentication—0
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds—0
Federated Unsupervised Semantic Segmentation—0
Application of the Hidden Markov Model for determining PQRST complexes in electrocardiograms—0
Microscopic Nuclei Classification, Segmentation and Detection with improved Deep Convolutional Neural Network (DCNN) Approaches—0
DifNet: Semantic Segmentation by Diffusion Networks—0
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans—0
Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs—0
Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency—0
Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation—0
A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling—0
Multi-encoder nnU-Net outperforms Transformer models with self-supervised pretraining—0
Midas Loop: A Prioritized Human-in-the-Loop Annotation for Large Scale Multilayer Data—0
Federated Learning with Partially Labeled Data: A Conditional Distillation Approach—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