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Segmentation

Papers

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Showing 9451–9500 of 13072 papers

TitleStatusHype
Fast Soft Color Segmentation—0
IDDA: a large-scale multi-domain dataset for autonomous driving—0
Learning to Predict Context-adaptive Convolution for Semantic Segmentation—0
MOPT: Multi-Object Panoptic Tracking—0
A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy—0
Indoor Point Cloud Segmentation Using Iterative Gaussian Mapping and Improved Model Fitting—0
CAggNet: Crossing Aggregation Network for Medical Image Segmentation—0
A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentationCode0
Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts—0
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and SegmentationCode1
Contextual Pyramid Attention Network for Building Segmentation in Aerial Imagery—0
Image Segmentation Using Hybrid Representations—0
Analysis of Scoliosis From Spinal X-Ray Images—0
Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges—0
Residual-driven Fuzzy C-Means Clustering for Image Segmentation—0
Bidirectional Graph Reasoning Network for Panoptic Segmentation—0
A2D2: Audi Autonomous Driving Dataset—0
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism—0
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text—0
StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization—0
Unified Multi-Criteria Chinese Word Segmentation with BERT—0
A Comparison of Deep Learning Convolution Neural Networks for Liver Segmentation in Radial Turbo Spin Echo Images—0
Semantic Labeling in Remote Sensing Corpora Using Feature Fusion-Based Enhanced Global Convolutional Network with High-Resolution Representations and Depthwise Atrous Convolution—0
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural NetworksCode0
Image Co-skeletonization via Co-segmentation—0
Y-net: Biomedical Image Segmentation and Clustering—0
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images—0
Self-Supervised Tuning for Few-Shot Segmentation—0
Domain Adaptive Transfer Attack (DATA)-based Segmentation Networks for Building Extraction from Aerial Images—0
Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos—0
Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks—0
FDA: Fourier Domain Adaptation for Semantic SegmentationCode3
Decentralized Differentially Private Segmentation with PATE—0
Phase Consistent Ecological Domain AdaptationCode1
Weakly supervised multiple instance learning histopathological tumor segmentationCode1
Capsules for Biomedical Image Segmentation—0
CenterMask: single shot instance segmentation with point representation—0
Spatial Information Guided Convolution for Real-Time RGBD Semantic SegmentationCode1
Test-Time Adaptable Neural Networks for Robust Medical Image SegmentationCode1
Semi-supervised acoustic modelling for five-lingual code-switched ASR using automatically-segmented soap opera speech—0
Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer LabelsCode1
Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion SegmentationCode1
U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation—0
Motion-supervised Co-Part SegmentationCode1
Manifold-driven Attention Maps for Weakly Supervised Segmentation—0
Objectness-Aware Few-Shot Semantic SegmentationCode1
A Local-to-Global Approach to Multi-modal Movie Scene SegmentationCode1
Real-Time Segmentation Networks should be Latency Aware—0
Adversarial-Prediction Guided Multi-task Adaptation for Semantic Segmentation of Electron Microscopy Images—0
CondenseUNet: A Memory-Efficient Condensely-Connected Architecture for Bi-ventricular Blood Pool and Myocardium 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