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Segmentation

Papers

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Showing 6251–6300 of 13072 papers

TitleStatusHype
OSTA: One-shot Task-adaptive Channel Selection for Semantic Segmentation of Multichannel Images—0
Segmentation and Vascular Vectorization for Coronary Artery by Geometry-based Cascaded Neural Network—0
Prompt What You Need: Enhancing Segmentation in Rainy Scenes with Anchor-based Prompting—0
Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI—0
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks—0
LSSED: A Robust Segmentation Network for Inflamed Appendix from CT ImagesCode0
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A SurveyCode0
Asynchronous Events-based Panoptic Segmentation using Graph Mixer Neural NetworkCode0
Semantic Segmentation using Vision Transformers: A survey—0
Point2Tree(P2T) -- framework for parameter tuning of semantic and instance segmentation used with mobile laser scanning data in coniferous forest—0
Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification—0
Point Transformer For Coronary Artery Labeling—0
Unsupervised Dialogue Topic Segmentation with Topic-aware Utterance Representation—0
Impact of Image Compression on In Vitro Cell Migration Analysis—0
HAISTA-NET: Human Assisted Instance Segmentation Through Attention—0
Unsupervised Domain Adaptation for Neuron Membrane Segmentation based on Structural Features—0
Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN—0
AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation—0
Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation—0
PRSeg: A Lightweight Patch Rotate MLP Decoder for Semantic Segmentation—0
Point Cloud Semantic Segmentation—0
A Comprehensive Corpus Callosum Segmentation Tool for Detecting Callosal Abnormalities and Genetic Associations from Multi Contrast MRIs—0
MASNet: A Robust Deep Marine Animal Segmentation NetworkCode0
CLIP-S^4: Language-Guided Self-Supervised Semantic Segmentation—0
Flexible Fusion Network for Multi-modal Brain Tumor Segmentation—0
A Critical Analysis of the Limitation of Deep Learning based 3D Dental Mesh Segmentation Methods in Segmenting Partial ScansCode0
Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected—0
Brain Tumor Segmentation from MRI Images using Deep Learning Techniques—0
Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate Annotations—0
SCOPE: Structural Continuity Preservation for Medical Image Segmentation—0
An automated end-to-end deep learning-based framework for lung cancer diagnosis by detecting and classifying the lung nodules—0
SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis—0
Incomplete hippocampal inversion and hippocampal subfield volumes: Implementation and inter-reliability of automatic segmentation—0
Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion FeaturesCode0
Zero-shot performance of the Segment Anything Model (SAM) in 2D medical imaging: A comprehensive evaluation and practical guidelinesCode0
3D Brainformer: 3D Fusion Transformer for Brain Tumor Segmentation—0
Dual-feature Fusion Attention Network for Small Object Segmentation—0
Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-focused nnU-NetCode0
Human Semantic Segmentation using Millimeter-Wave Radar Sparse Point Clouds—0
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model—0
Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation—0
Compensation Learning in Semantic SegmentationCode0
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation—0
Exploiting CNNs for Semantic Segmentation with Pascal VOC—0
Segment anything, from space?—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
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
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
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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