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Segmentation

Papers

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Showing 6026–6050 of 13072 papers

TitleStatusHype
Deep Neural Networks for Automatic Grain-matrix Segmentation in Plane and Cross-polarized Sandstone Photomicrographs—0
Automatic semantic segmentation for prediction of tuberculosis using lens-free microscopy images—0
Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images—0
Automatic Semantic Content Removal by Learning to Neglect—0
A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects—0
Deep Neural Network and Data Augmentation Methodology for off-axis iris segmentation in wearable headsets—0
Deep Neural Ensemble for Retinal Vessel Segmentation in Fundus Images towards Achieving Label-free Angiography—0
Automatic Selection of Stochastic Watershed Hierarchies—0
Deep nested level sets: Fully automated segmentation of cardiac MR images in patients with pulmonary hypertension—0
Automatic segmenting teeth in X-ray images: Trends, a novel data set, benchmarking and future perspectives—0
Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy—0
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy—0
Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation—0
Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation—0
Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation—0
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss—0
A Multi-channel Network with Image Retrieval for Accurate Brain Tissue Segmentation—0
Deep Multimodal Fusion for Semantic Segmentation of Remote Sensing Earth Observation Data—0
Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes—0
Automatic segmentation of trees in dynamic outdoor environments—0
AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Model—0
Active Learning for Segmentation Based on Bayesian Sample Queries—0
3D Shape Segmentation with Geometric Deep Learning—0
2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation—0
1st Place Winner of the 2024 Pixel-level Video Understanding in the Wild (CVPR'24 PVUW) Challenge in Video Panoptic Segmentation and Best Long Video Consistency of Video Semantic 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