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Segmentation

Papers

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Showing 11401–11425 of 13072 papers

TitleStatusHype
On The Usage Of Average Hausdorff Distance For Segmentation Performance Assessment: Hidden Bias When Used For Ranking—0
Lightweight Multispectral Crop-Weed Segmentation for Precision Agriculture—0
Road Segmentation with Image-LiDAR Data Fusion—0
OntoSeg: a Novel Approach to Text Segmentation using Ontological Similarity—0
Lightweight Road Environment Segmentation using Vector Quantization—0
A First Derivative Potts Model for Segmentation and Denoising Using ILP—0
Lightweight Uncertainty Quantification with Simplex Semantic Segmentation for Terrain Traversability—0
Lightweight U-Net for High-Resolution Breast Imaging—0
LIMIS: Towards Language-based Interactive Medical Image Segmentation—0
Limitations of Out-of-Distribution Detection in 3D Medical Image Segmentation—0
LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation—0
3-D Convolutional Neural Networks for Glioblastoma Segmentation—0
Linear features segmentation from aerial images—0
Linear Object Detection in Document Images using Multiple Object Tracking—0
A Fine-Grain Error Map Prediction and Segmentation Quality Assessment Framework for Whole-Heart Segmentation—0
A Fine-Grained Dataset and its Efficient Semantic Segmentation for Unstructured Driving Scenarios—0
Line Profile Based Segmentation Algorithm for Touching Corn Kernels—0
Line Segmentation from Unconstrained Handwritten Text Images using Adaptive Approach—0
Affinity-Graph-Guided Contractive Learning for Pretext-Free Medical Image Segmentation with Minimal Annotation—0
Linkage between piecewise constant Mumford-Shah model and ROF model and its virtue in image segmentation—0
LIP: Learning Instance Propagation for Video Object Segmentation—0
OOD-SEG: Out-Of-Distribution detection for image SEGmentation with sparse multi-class positive-only annotations—0
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding—0
LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery—0
LiSD: An Efficient Multi-Task Learning Framework for LiDAR Segmentation and Detection—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