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Segmentation

Papers

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Showing 10351–10400 of 13072 papers

TitleStatusHype
En-Ar Bilingual Word Embeddings without Word Alignment: Factors Effects—0
A Cascade Model for Proposition Extraction in Argumentation—0
Exploiting machine algorithms in vocalic quantification of African English corpora—0
Convolutional neural networks for low-resource morpheme segmentation: baseline or state-of-the-art?Code0
Hierarchical Fine-Tuning for joint Liver Lesion Segmentation and Lesion Classification in CT—0
Incremental Learning Techniques for Semantic SegmentationCode1
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation—0
Stratify or Inject: Two Simple Training Strategies to Improve Brain Tumor Segmentation—0
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation—0
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image SegmentationCode0
Lung image segmentation by generative adversarial networks—0
Deep Learning architectures for generalized immunofluorescence based nuclear image segmentationCode0
2D and 3D Segmentation of uncertain local collagen fiber orientations in SHG microscopyCode0
Grid Saliency for Context Explanations of Semantic SegmentationCode1
Weakly Supervised Body Part Segmentation with Pose based Part Priors—0
Conditioning Convolutional Segmentation Architectures with Non-Imaging Data—0
Effect of Adding Probabilistic Zonal Prior in Deep Learning-based Prostate Cancer Detection—0
EcoLens: Visual Analysis of Urban Region Dynamics Using Traffic Data—0
A Fine-Grain Error Map Prediction and Segmentation Quality Assessment Framework for Whole-Heart Segmentation—0
Automatic Text Line Segmentation Directly in JPEG Compressed Document Images—0
Multi-Task Attention-Based Semi-Supervised Learning for Medical Image SegmentationCode0
FSS-1000: A 1000-Class Dataset for Few-Shot SegmentationCode0
Interlaced Sparse Self-Attention for Semantic SegmentationCode2
FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images—0
Automated Mammogram Analysis with a Deep Learning Pipeline—0
Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation—0
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse ConvolutionsCode0
Relevance analysis of MRI sequences for automatic liver tumor segmentation—0
Single Level Feature-to-Feature Forecasting with Deformable Convolutions—0
Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation—0
Grape detection, segmentation and tracking using deep neural networks and three-dimensional associationCode0
DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic SegmentationCode0
Investigating Self-Attention Network for Chinese Word SegmentationCode0
Attention Guided Network for Retinal Image SegmentationCode0
Object as Distribution—0
NoduleNet: Decoupled False Positive Reductionfor Pulmonary Nodule Detection and SegmentationCode0
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and SegmentationCode0
Cross Attention Network for Semantic Segmentation—0
Importance-Aware Semantic Segmentation with Efficient Pyramidal Context Network for Navigational Assistant SystemsCode0
ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image SegmentationCode0
Don't Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation—0
Overfitting of neural nets under class imbalance: Analysis and improvements for segmentationCode1
Self-supervised Domain Adaptation for Computer Vision TasksCode0
Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation—0
Segmenting Objects in Day and Night:Edge-Conditioned CNN for Thermal Image Semantic SegmentationCode1
Mixed-Supervised Dual-Network for Medical Image Segmentation—0
Incremental Class Discovery for Semantic Segmentation with RGBD Sensing—0
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images—0
Exploring Semantic Segmentation on the DCT Representation—0
Domain specific cues improve robustness of deep learning based segmentation of ct volumes—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