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Segmentation

Papers

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Showing 11351–11400 of 13072 papers

TitleStatusHype
Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings—0
Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images—0
Face Mask Extraction in Video Sequence—0
ClusterNet: 3D Instance Segmentation in RGB-D Images—0
Feature Fusion through Multitask CNN for Large-scale Remote Sensing Image Segmentation—0
Convolutional Simplex Projection Network (CSPN) for Weakly Supervised Semantic SegmentationCode0
Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation—0
Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation—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
Actor-Action Semantic Segmentation with Region Masks—0
Clearing noisy annotations for computed tomography imagingCode0
3D Convolutional Neural Networks for Tumor Segmentation using Long-range 2D Context—0
Deep attention-guided fusion network for lesion segmentation—0
Iterative Interaction Training for Segmentation Editing Networks—0
Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Augmentation—0
Lesion segmentation using U-Net network—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
Bounding Box Embedding for Single Shot Person Instance Segmentation—0
Future Semantic Segmentation with Convolutional LSTM—0
Brain Tumor Segmentation and Tractographic Feature Extraction from Structural MR Images for Overall Survival PredictionCode0
Automatic Semantic Content Removal by Learning to Neglect—0
Competition vs. Concatenation in Skip Connections of Fully Convolutional Networks—0
Automatically Designing CNN Architectures for Medical Image Segmentation—0
Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging SegmentationCode0
In pixels we trust: From Pixel Labeling to Object Localization and Scene Categorization—0
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks—0
A Strategy of MR Brain Tissue Images' Suggestive Annotation Based on Modified U-Net—0
ArticulatedFusion: Real-time Reconstruction of Motion, Geometry and Segmentation Using a Single Depth Camera—0
Guided Upsampling Network for Real-Time Semantic Segmentation—0
Three for one and one for three: Flow, Segmentation, and Surface NormalsCode0
UNet++: A Nested U-Net Architecture for Medical Image SegmentationCode1
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
3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation—0
Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy—0
A Fast Segmentation-free Fully Automated Approach to White Matter Injury Detection in Preterm InfantsCode0
A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections—0
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
A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic SegmentationCode0
Near Real-time Hippocampus Segmentation Using Patch-based Canonical Neural Network—0
Cross Pixel Optical Flow Similarity for Self-Supervised Learning—0
Non-local RoIs for Instance Segmentation—0
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection—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