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Segmentation

Papers

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Showing 4401–4450 of 13072 papers

TitleStatusHype
A Comprehensive Corpus Callosum Segmentation Tool for Detecting Callosal Abnormalities and Genetic Associations from Multi Contrast MRIs—0
CLIP-S^4: Language-Guided Self-Supervised Semantic Segmentation—0
Rethinking Boundary Detection in Deep Learning Models for Medical Image SegmentationCode1
PRSeg: A Lightweight Patch Rotate MLP Decoder for Semantic Segmentation—0
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical dataCode1
Point Cloud Semantic Segmentation—0
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object DetectionCode1
A Critical Analysis of the Limitation of Deep Learning based 3D Dental Mesh Segmentation Methods in Segmenting Partial ScansCode0
Polyp-SAM: Transfer SAM for Polyp SegmentationCode1
Brain Tumor Segmentation from MRI Images using Deep Learning Techniques—0
Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected—0
Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reportingCode1
Incomplete hippocampal inversion and hippocampal subfield volumes: Implementation and inter-reliability of automatic segmentation—0
Event-Free Moving Object Segmentation from Moving Ego VehicleCode1
An automated end-to-end deep learning-based framework for lung cancer diagnosis by detecting and classifying the lung nodules—0
Segment Anything Model for Medical Images?Code1
Zero-shot performance of the Segment Anything Model (SAM) in 2D medical imaging: A comprehensive evaluation and practical guidelinesCode0
Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate Annotations—0
SCOPE: Structural Continuity Preservation for Medical Image Segmentation—0
SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis—0
Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion FeaturesCode0
3D Brainformer: 3D Fusion Transformer for Brain Tumor Segmentation—0
Dual-feature Fusion Attention Network for Small Object Segmentation—0
Human Semantic Segmentation using Millimeter-Wave Radar Sparse Point Clouds—0
EDAPS: Enhanced Domain-Adaptive Panoptic SegmentationCode1
Adaptive-Mask Fusion Network for Segmentation of Drivable Road and Negative Obstacle With Untrustworthy FeaturesCode1
Instance Segmentation in the DarkCode1
Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-focused nnU-NetCode0
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model—0
A Review of Panoptic Segmentation for Mobile Mapping Point CloudsCode1
Zero-shot Unsupervised Transfer Instance SegmentationCode1
EasyPortrait -- Face Parsing and Portrait Segmentation DatasetCode2
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion modelsCode1
Customized Segment Anything Model for Medical Image SegmentationCode2
Learnable Ophthalmology SAMCode1
Compensation Learning in Semantic SegmentationCode0
GazeSAM: What You See is What You SegmentCode1
Exploiting CNNs for Semantic Segmentation with Pascal VOC—0
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation—0
Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation—0
Improving Speech Translation Accuracy and Time Efficiency with Fine-tuned wav2vec 2.0-based Speech SegmentationCode0
Retinal Vessel Segmentation via a Multi-resolution Contextual Network and Adversarial Learning—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
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image SegmentationCode3
Segment anything, from space?—0
Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical SegmentationCode1
STM-UNet: An Efficient U-shaped Architecture Based on Swin Transformer and Multi-scale MLP for Medical Image Segmentation—0
Segmentation of Hemorrhagic Areas in Human Brain from CT Scan ImagesCode0
AutoFocusFormer: Image Segmentation off the GridCode1
Track Anything: Segment Anything Meets VideosCode5
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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