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Segmentation

Papers

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Showing 11401–11450 of 13072 papers

TitleStatusHype
Semi-convolutional Operators for Instance Segmentation—0
Superpixel Sampling NetworksCode0
Instance Segmentation by Deep ColoringCode0
Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks—0
Linkage between piecewise constant Mumford-Shah model and ROF model and its virtue in image segmentation—0
Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings—0
Finding Better Subword Segmentation for Neural Machine TranslationCode0
Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images—0
Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation—0
Feature Fusion through Multitask CNN for Large-scale Remote Sensing Image Segmentation—0
Convolutional Simplex Projection Network (CSPN) for Weakly Supervised Semantic SegmentationCode0
ClusterNet: 3D Instance Segmentation in RGB-D Images—0
Face Mask Extraction in Video Sequence—0
Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation—0
PReMVOS: Proposal-generation, Refinement and Merging for Video Object SegmentationCode0
Skin Lesion Segmentation Using Atrous Convolution via DeepLab v3—0
Region Convolutional Features for Multi-Label Remote Sensing Image Retrieval—0
DASN:Data-Aware Skilled Network for Accurate MR Brain Tissue Segmentation—0
Deep attention-guided fusion network for lesion segmentation—0
Lesion segmentation using U-Net network—0
Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Augmentation—0
3D Convolutional Neural Networks for Tumor Segmentation using Long-range 2D Context—0
Iterative Interaction Training for Segmentation Editing Networks—0
Clearing noisy annotations for computed tomography imagingCode0
Actor-Action Semantic Segmentation with Region Masks—0
Skin Lesion Analysis Towards Melanoma Detection via End-to-end Deep Learning of Convolutional Neural Networks—0
A post-processing method to improve the white matter hyperintensity segmentation accuracy for randomly-initialized U-net—0
Future Semantic Segmentation with Convolutional LSTM—0
Automatic Semantic Content Removal by Learning to Neglect—0
Brain Tumor Segmentation and Tractographic Feature Extraction from Structural MR Images for Overall Survival PredictionCode0
Bounding Box Embedding for Single Shot Person Instance Segmentation—0
Competition vs. Concatenation in Skip Connections of Fully Convolutional Networks—0
A Strategy of MR Brain Tissue Images' Suggestive Annotation Based on Modified U-Net—0
In pixels we trust: From Pixel Labeling to Object Localization and Scene Categorization—0
Automatically Designing CNN Architectures for Medical Image Segmentation—0
Guided Upsampling Network for Real-Time Semantic Segmentation—0
Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging SegmentationCode0
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks—0
ArticulatedFusion: Real-time Reconstruction of Motion, Geometry and Segmentation Using a Single Depth Camera—0
Three for one and one for three: Flow, Segmentation, and Surface NormalsCode0
Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy—0
3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation—0
A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning—0
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement—0
A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections—0
A Fast Segmentation-free Fully Automated Approach to White Matter Injury Detection in Preterm InfantsCode0
Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on VideoCode0
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional NetworksCode0
PIMMS: Permutation Invariant Multi-Modal Segmentation—0
Uncertainty and Interpretability in Convolutional Neural Networks for Semantic Segmentation of Colorectal Polyps—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