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Segmentation

Papers

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Showing 7501–7550 of 13072 papers

TitleStatusHype
CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation—0
A Unified Framework for Mutual Improvement of SLAM and Semantic Segmentation—0
AI-based automated Meibomian gland segmentation, classification and reflection correction in infrared Meibography—0
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation—0
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data—0
Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation—0
3DGTN: 3D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation—0
3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation—0
Incorporating prior knowledge in medical image segmentation: a survey—0
Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation—0
CRIS: Collaborative Refinement Integrated with Segmentation for Polyp Segmentation—0
MLMT-CNN for Object Detection and Segmentation in Multi-layer and Multi-spectral Images—0
Incorporating Near-Infrared Information into Semantic Image Segmentation—0
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data—0
Incorporating Inner-word and Out-word Features for Mongolian Morphological Segmentation—0
Incorporating Feature Pyramid Tokenization and Open Vocabulary Semantic Segmentation—0
Incorporating Domain Knowledge To Improve Topic Segmentation Of Long MOOC Lecture Videos—0
MMFNet: A Multi-modality MRI Fusion Network for Segmentation of Nasopharyngeal Carcinoma—0
Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation—0
CRF Learning with CNN Features for Image Segmentation—0
MMNet: Multi-Mask Network for Referring Image Segmentation—0
A hypothesize-and-verify framework for Text Recognition using Deep Recurrent Neural Networks—0
In-Context Translation: Towards Unifying Image Recognition, Processing, and Generation—0
MM-UNet: A Mixed MLP Architecture for Improved Ophthalmic Image Segmentation—0
In-context learning for medical image segmentation—0
MNet-SAt: A Multiscale Network with Spatial-enhanced Attention for Segmentation of Polyps in Colonoscopy—0
Creating A Coefficient of Change in the Built Environment After a Natural Disaster—0
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network—0
CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional Networks—0
Incomplete Utterance Rewriting as Semantic Segmentation—0
Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence—0
CrashCar101: Procedural Generation for Damage Assessment—0
Incomplete Multi-modal Brain Tumor Segmentation via Learnable Sorting State Space Model—0
Modality-Agnostic Learning for Medical Image Segmentation Using Multi-modality Self-distillation—0
Incomplete hippocampal inversion and hippocampal subfield volumes: Implementation and inter-reliability of automatic segmentation—0
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures—0
A Unified Efficient Pyramid Transformer for Semantic Segmentation—0
A Hybrid Semantic-Geometric Approach for Clutter-Resistant Floorplan Generation from Building Point Clouds—0
A comparative study of attention mechanism and generative adversarial network in facade damage segmentation—0
IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks—0
Crack Semantic Segmentation using the U-Net with Full Attention Strategy—0
Model-Assisted Labeling via Explainability for Visual Inspection of Civil Infrastructures—0
Model-based Catheter Segmentation in MRI-images—0
Improving Whole Slide Segmentation Through Visual Context - A Systematic Study—0
Model-based learning of local image features for unsupervised texture segmentation—0
Model-Based Robust Adaptive Semantic Segmentation—0
A Unified Architecture of Semantic Segmentation and Hierarchical Generative Adversarial Networks for Expression Manipulation—0
Improving Vertebra Segmentation through Joint Vertebra-Rib Atlases—0
Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy—0
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning—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