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Segmentation

Papers

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Showing 3901–3950 of 13072 papers

TitleStatusHype
SCASeg: Strip Cross-Attention for Efficient Semantic Segmentation—0
Rapid Distributed Fine-tuning of a Segmentation Model Onboard SatellitesCode0
ΩSFormer: Dual-Modal Ω-like Super-Resolution Transformer Network for Cross-scale and High-accuracy Terraced Field Vectorization Extraction—0
Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification—0
TAFM-Net: A Novel Approach to Skin Lesion Segmentation Using Transformer Attention and Focal Modulation—0
Exploring Superpixel Segmentation Methods in the Context of Citizen Science and Deforestation Detection—0
A Bilayer Segmentation-Recombination Network for Accurate Segmentation of Overlapping C. elegans—0
SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting—0
J-CaPA : Joint Channel and Pyramid Attention Improves Medical Image Segmentation—0
Glo-In-One-v2: Holistic Identification of Glomerular Cells, Tissues, and Lesions in Human and Mouse HistopathologyCode0
Weakly supervised image segmentation for defect-based grading of fresh produceCode0
Recent Trends in Linear Text Segmentation: a Survey—0
U-WNO:U-Net-enhanced Wavelet Neural Operator for fetal head segmentation—0
A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged RoadsCode0
Any3DIS: Class-Agnostic 3D Instance Segmentation by 2D Mask Tracking—0
Enhancing the automatic segmentation and analysis of 3D liver vasculature modelsCode0
Integrating Deep Metric Learning with Coreset for Active Learning in 3D SegmentationCode0
Multi-scale Cascaded Large-Model for Whole-body ROI SegmentationCode0
A Contrast-Agnostic Method for Ultra-High Resolution Claustrum SegmentationCode0
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation—0
CellPilotCode0
Machine-agnostic Automated Lumbar MRI Segmentation using a Cascaded Model Based on Generative Neurons—0
Effective SAM Combination for Open-Vocabulary Semantic Segmentation—0
Instance-Aware Generalized Referring Expression Segmentation—0
Quantum-enhanced unsupervised image segmentation for medical images analysis—0
Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided RadiotherapyCode0
Cell as Point: One-Stage Framework for Efficient Cell Tracking—0
Segment Any Class (SAC): Multi-Class Few-Shot Semantic Segmentation via Class Region Proposals—0
Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models—0
Multimodal 3D Brain Tumor Segmentation with Adversarial Training and Conditional Random Field—0
CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation—0
Enhancing Diagnostic Precision in Gastric Bleeding through Automated Lesion Segmentation: A Deep DuS-KFCM ApproachCode0
Multimodal 3D Reasoning Segmentation with Complex Scenes—0
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation—0
DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines—0
BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation—0
Automating Sonologists USG Commands with AI and Voice Interface—0
Intensity-Spatial Dual Masked Autoencoder for Multi-Scale Feature Learning in Chest CT SegmentationCode0
Entropy Bootstrapping for Weakly Supervised Nuclei Detection—0
Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework—0
SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical SegmentationCode0
A Multimodal Approach Combining Structural and Cross-domain Textual Guidance for Weakly Supervised OCT SegmentationCode0
SP ^3 : Superpixel-propagated pseudo-label learning for weakly semi-supervised medical image segmentation—0
MGNiceNet: Unified Monocular Geometric Scene UnderstandingCode0
Machine Learning Evaluation Metric Discrepancies across Programming Languages and Their Components: Need for Standardization—0
MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models—0
TP-UNet: Temporal Prompt Guided UNet for Medical Image Segmentation—0
KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling—0
Cascaded Diffusion Models for 2D and 3D Microscopy Image Synthesis to Enhance Cell SegmentationCode0
Calibrated and Efficient Sampling-Free Confidence Estimation for LiDAR Scene Semantic Segmentation—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