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Segmentation

Papers

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Showing 9976–10000 of 13072 papers

TitleStatusHype
A Group Norm Regularized Factorization Model for Subspace Segmentation—0
Fast Neural Network Adaptation via Parameter Remapping and Architecture SearchCode0
Distributionally Robust Deep Learning using Hardness Weighted SamplingCode0
Spinal Metastases Segmentation in MR Imaging using Deep Convolutional Neural Networks—0
PoSeg: Pose-Aware Refinement Network for Human Instance Segmentation—0
Automated Pavement Crack Segmentation Using U-Net-based Convolutional Neural Network—0
Automated Segmentation of Vertebrae on Lateral Chest Radiography Using Deep Learning—0
Self-Learning AI Framework for Skin Lesion Image Segmentation and Classification—0
Segmentation of Cellular Patterns in Confocal Images of Melanocytic Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net)—0
Synthetic vascular structure generation for unsupervised pre-training in CTA segmentation tasks—0
Morphological Word Segmentation on Agglutinative Languages for Neural Machine Translation—0
A^3DSegNet: Anatomy-aware artifact disentanglement and segmentation network for unpaired segmentation, artifact reduction, and modality translation—0
Graph-FCN for image semantic segmentation—0
Stagnant zone segmentation with U-net—0
Segmentation-Aware and Adaptive Iris Recognition—0
Volumetric Lung Nodule Segmentation using Adaptive ROI with Multi-View Residual Learning—0
Discovering Latent Classes for Semi-Supervised Semantic Segmentation—0
SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory—0
The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation—0
Transfer Learning for Brain Tumor Segmentation—0
TextScanner: Reading Characters in Order for Robust Scene Text Recognition—0
Learning to segment images with classification labels—0
Implicit supervision for fault detection and segmentation of emerging fault types with Deep Variational Autoencoders—0
An Abstraction Model for Semantic Segmentation Algorithms—0
Handling Missing MRI Input Data in Deep Learning Segmentation of Brain Metastases: A Multi-Center Study—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