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Segmentation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7876–7900 of 13072 papers

TitleStatusHype
iSeg3D: An Interactive 3D Shape Segmentation Tool—0
Multi-Scale Feature Fusion: Learning Better Semantic Segmentation for Road Pothole Detection—0
Realtime Global Attention Network for Semantic SegmentationCode0
FourierMask: Instance Segmentation using Fourier Mapping in Implicit Neural Networks—0
A Random Point Initialization Approach to Image Segmentation with Variational Level-sets—0
PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving—0
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation—0
Scaling Open-Vocabulary Image Segmentation with Image-Level LabelsCode0
High-Accuracy RGB-D Face Recognition via Segmentation-Aware Face Depth Estimation and Mask-Guided Attention Network—0
A Discriminative Single-Shot Segmentation Network for Visual Object Tracking—0
PointCaps: Raw Point Cloud Processing using Capsule Networks with Euclidean Distance Routing—0
Leveraging Image Complexity in Macro-Level Neural Network Design for Medical Image Segmentation—0
Generalized Few-Shot Semantic Segmentation: All You Need is Fine-Tuning—0
RC-Net: A Convolutional Neural Network for Retinal Vessel Segmentation—0
A novel approach for the automated segmentation and volume quantification of cardiac fats on computed tomography—0
Learning to integrate vision data into road network data—0
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet—0
One Sketch for All: One-Shot Personalized Sketch Segmentation—0
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking ResultsCode0
A Deep Learning Based Workflow for Detection of Lung Nodules With Chest Radiograph—0
A New Image Codec Paradigm for Human and Machine Uses—0
Cross-Domain Federated Learning in Medical Imaging—0
3D Instance Segmentation of MVS Buildings—0
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation—0
Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-stage Span Labeling—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