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Segmentation

Papers

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Showing 7476–7500 of 13072 papers

TitleStatusHype
CRNet: Cross-Reference Networks for Few-Shot Segmentation—0
Incremental Class Discovery for Semantic Segmentation with RGBD Sensing—0
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks—0
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text—0
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
MiSuRe is all you need to explain your image segmentation—0
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data—0
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data—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
Incorporating Near-Infrared Information into Semantic Image Segmentation—0
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT—0
Mixed-Block Neural Architecture Search for Medical Image Segmentation—0
Mixed context networks for semantic 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
Mixed-Supervised Dual-Network for Medical Image Segmentation—0
Incorporating Domain Knowledge To Improve Topic Segmentation Of Long MOOC Lecture Videos—0
Incorporating Boundary Uncertainty into loss functions for biomedical image 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