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Segmentation

Papers

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Showing 6301–6350 of 13072 papers

TitleStatusHype
Topology-Aware Focal Loss for 3D Image Segmentation—0
Semi-Supervised Semantic Segmentation With Region RelevanceCode0
Urban GeoBIM construction by integrating semantic LiDAR point clouds with as-designed BIM models—0
Dilated-UNet: A Fast and Accurate Medical Image Segmentation Approach using a Dilated Transformer and U-Net ArchitectureCode0
Deep Attention Unet: A Network Model with Global Feature Perception Ability—0
Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation—0
Ensembling Instance and Semantic Segmentation for Panoptic Segmentation—0
Brain tumor multi classification and segmentation in MRI images using deep learning—0
Boosting Semantic Segmentation with Semantic BoundariesCode0
Denoising Diffusion Medical Models—0
Learning Temporal Distribution and Spatial Correlation Towards Universal Moving Object SegmentationCode0
Realistic Data Enrichment for Robust Image Segmentation in Histopathology—0
Few-shot Medical Image Segmentation via Cross-Reference Transformer—0
Structure Preserving Cycle-GAN for Unsupervised Medical Image Domain Adaptation—0
Detection and Classification of Glioblastoma Brain Tumor—0
Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networksCode0
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets—0
Federated Alternate Training (FAT): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging—0
ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation—0
DETR-based Layered Clothing Segmentation and Fine-Grained Attribute Recognition—0
When SAM Meets Medical Images: An Investigation of Segment Anything Model (SAM) on Multi-phase Liver Tumor Segmentation—0
Two-stage MR Image Segmentation Method for Brain Tumors based on Attention Mechanism—0
Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients—0
Learning to "Segment Anything" in Thermal Infrared Images through Knowledge Distillation with a Large Scale Dataset SATIRCode0
Collaborative Feature Learning for Fine-grained Facial Forgery Detection and Segmentation—0
One-shot and Partially-Supervised Cell Image Segmentation Using Small Visual PromptCode0
JoB-VS: Joint Brain-Vessel Segmentation in TOF-MRA ImagesCode0
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinatesCode0
The Segment Anything foundation model achieves favorable brain tumor autosegmentation accuracy on MRI to support radiotherapy treatment planning—0
ALiSNet: Accurate and Lightweight Human Segmentation Network for Fashion E-Commerce—0
Region-Enhanced Feature Learning for Scene Semantic Segmentation—0
CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View Adaptation—0
Tailored Multi-Organ Segmentation with Model Adaptation and Ensemble—0
CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation—0
MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation—0
DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive Segmentation Transformer—0
Deep learning based ECG segmentation for delineation of diverse arrhythmias—0
DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving VideosCode0
iResSENet: An Accurate Convolutional Neural Network for Retinal Blood Vessel SegmentationCode0
[CLS] Token is All You Need for Zero-Shot Semantic Segmentation—0
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-trainingCode0
Tracking by 3D Model Estimation of Unknown Objects in Videos—0
DUFormer: Solving Power Line Detection Task in Aerial Images using Semantic Segmentation—0
Neural Field Conditioning Strategies for 2D Semantic Segmentation—0
MED-VT++: Unifying Multimodal Learning with a Multiscale Encoder-Decoder Video Transformer—0
Few Shot Semantic Segmentation: a review of methodologies, benchmarks, and open challenges—0
SuperpixelGraph: Semi-automatic generation of building footprint through semantic-sensitive superpixel and neural graph networks—0
Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical LearningCode0
SATR: Zero-Shot Semantic Segmentation of 3D Shapes—0
Block Attention and Switchable Normalization Based Deep Learning Framework for Segmentation of Retinal VesselsCode0
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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