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Segmentation

Papers

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Showing 4201–4225 of 13072 papers

TitleStatusHype
A Locally Adapting Technique for Boundary Detection using Image Segmentation—0
Deep Deterministic Uncertainty for Semantic Segmentation—0
Deep, Dense, and Low-Rank Gaussian Conditional Random Fields—0
Automatic Hadith Segmentation using PPM Compression—0
Filtering for More Accurate Dense Tissue Segmentation in Digitized Mammograms—0
Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation—0
3D Scene Parsing via Class-Wise Adaptation—0
Med-URWKV: Pure RWKV With ImageNet Pre-training For Medical Image Segmentation—0
Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-shape Priori for Image Segmentation—0
Deep Convolutional Neural Networks Meet Variational Shape Compactness Priors for Image Segmentation—0
Automatic fetal fat quantification from MRI—0
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review—0
Automatic evaluation of human oocyte developmental potential from microscopy images—0
All You Need is LUV: Unsupervised Collection of Labeled Images using Invisible UV Fluorescent Indicators—0
A Cross-Scale Hierarchical Transformer with Correspondence-Augmented Attention for inferring Bird's-Eye-View Semantic Segmentation—0
Deep Convolutional Networks for Supervised Morpheme Segmentation of Russian Language—0
Deep convolutional networks for pancreas segmentation in CT imaging—0
Automatic Estimation of Live Coffee Leaf Infection based on Image Processing Techniques—0
Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation—0
Automatic Error Detection in Integrated Circuits Image Segmentation: A Data-driven Approach—0
All you need is a second look: Towards Tighter Arbitrary shape text detection—0
Filter Design and Performance Evaluation for Fingerprint Image Segmentation—0
Finding Sub-task Structure with Natural Language Instruction—0
DeepContour: A Deep Convolutional Feature Learned by Positive-Sharing Loss for Contour Detection—0
Deep Consensus 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