SOTAVerified

Segmentation

Papers

Showing 1090110925 of 13072 papers

TitleStatusHype
A Multi-Scale Spatial Transformer U-Net for Simultaneously Automatic Reorientation and Segmentation of 3D Nuclear Cardiac Images0
kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies0
Knowledge Adaptation for Efficient Semantic Segmentation0
Knowledge-aware Deep Framework for Collaborative Skin Lesion Segmentation and Melanoma Recognition0
Knowledge-based Fully Convolutional Network and Its Application in Segmentation of Lung CT Images0
Knowledge Consultation for Semi-Supervised Semantic Segmentation0
Knowledge Discovery in Optical Music Recognition: Enhancing Information Retrieval with Instance Segmentation0
A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation0
3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint0
Knowledge distillation from multi-modal to mono-modal segmentation networks0
Implicit supervision for fault detection and segmentation of emerging fault types with Deep Variational Autoencoders0
Knowledge Transfer for Few-shot Segmentation of Novel White Matter Tracts0
Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds0
Kolmogorov-Arnold Network for Remote Sensing Image Semantic Segmentation0
OMSN and FAROS: OCTA Microstructure Segmentation Network and Fully Annotated Retinal OCTA Segmentation Dataset0
A Multiscale Patch Based Convolutional Network for Brain Tumor Segmentation0
Paris-Lille-3D: a large and high-quality ground truth urban point cloud dataset for automatic segmentation and classification0
K-SAM: A Prompting Method Using Pretrained U-Net to Improve Zero Shot Performance of SAM on Lung Segmentation in CXR Images0
Kullback-Leibler Divergence-Based Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet Frames for Image Segmentation0
3D Medical Imaging Segmentation on Non-Contrast CT0
L^3U-net: Low-Latency Lightweight U-net Based Image Segmentation Model for Parallel CNN Processors0
Label Adversarial Learning for Skeleton-level to Pixel-level Adjustable Vessel Segmentation0
A multiscale graph cut approach to bright-field multiple cell image segmentation using a Bhattacharyya measure0
Label Calibration for Semantic Segmentation Under Domain Shift0
3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8Unverified
2SAMAverage Precision38.9Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69Unverified