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Segmentation

Papers

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Showing 11076–11100 of 13072 papers

TitleStatusHype
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation—0
Learning Debiased and Disentangled Representations for Semantic Segmentation—0
Cursive Multilingual Characters Recognition Based on Hard Geometric Features—0
Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview—0
Parsing Objects at a Finer Granularity: A Survey—0
One shot PACS: Patient specific Anatomic Context and Shape prior aware recurrent registration-segmentation of longitudinal thoracic cone beam CTs—0
A Lightweight Clustering Framework for Unsupervised Semantic Segmentation—0
Parsing Through Boundaries in Chinese Word Segmentation—0
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking—0
Algorithms used for the Cell Segmentation Benchmark Competition at ISBI 2019 by RWTH-GE—0
Algorithmic clothing: hybrid recommendation, from street-style-to-shop—0
Learning event representations for temporal segmentation of image sequences by dynamic graph embedding—0
Learning Explicit Object-Centric Representations with Vision Transformers—0
Algorithm guided outlining of 105 pancreatic cancer liver metastases in Ultrasound—0
Learning Fine-Grained Segmentation of 3D Shapes without Part Labels—0
Parsing World's Skylines using Shape-Constrained MRFs—0
Learning from Exemplars for Interactive Image Segmentation—0
3D hierarchical optimization for Multi-view depth map coding—0
Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation—0
Enhancing Point Annotations with Superpixel and Confidence Learning Guided for Improving Semi-Supervised OCT Fluid Segmentation—0
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks—0
ALBERT: Advanced Localization and Bidirectional Encoder Representations from Transformers for Automotive Damage Evaluation—0
Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift—0
Learning from Pseudo-labeled Segmentation for Multi-Class Object Counting—0
Learning from Relatives: Unified Dialectal Arabic 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