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Segmentation

Papers

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Showing 7401–7425 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
Chan-Vese Attention U-Net: An attention mechanism for robust segmentation—0
Multi-dataset synergistic in supervised learning to pre-label structural components in point clouds from shell construction scenes—0
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning—0
Meta Mask Correction for Nuclei Segmentation in Histopathological Image—0
Fetal Brain Tissue Annotation and Segmentation Challenge Results—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-Cue Structure Preserving MRF for Unconstrained Video Segmentation—0
MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation—0
Meta Segmentation Network for Ultra-Resolution Medical Images—0
Multi-Decoder Networks with Multi-Denoising Inputs for Tumor Segmentation—0
Channel Attention Separable Convolution Network for Skin Lesion Segmentation—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
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
Feedback Attention for Cell Image Segmentation—0
MultiCo3D: Multi-Label Voxel Contrast for One-Shot Incremental Segmentation of 3D Neuroimages—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
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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