SOTAVerified

Segmentation

Papers

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Showing 5351–5375 of 13072 papers

TitleStatusHype
Comparison of Possibilistic Fuzzy Local Information C-Means and Possibilistic K-Nearest Neighbors for Synthetic Aperture Sonar Image Segmentation—0
Grapevine Winter Pruning Automation: On Potential Pruning Points Detection through 2D Plant Modeling using Grapevine Segmentation—0
Comparison of Semantic Segmentation Approaches for Horizon/Sky Line Detection—0
Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms—0
Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution—0
Graph based Dynamic Segmentation of Generic Objects in 3D—0
Graph-based methods for analyzing orchard tree structure using noisy point cloud data—0
Graph-Based Optimization with Tubularity Markov Tree for 3D Vessel Segmentation—0
Improved-Flow Warp Module for Remote Sensing Semantic Segmentation—0
Graph-Based Translation Via Graph Segmentation—0
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation—0
Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation—0
Generative modeling of spatio-temporal weather patterns with extreme event conditioning—0
Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification—0
Graph entropies in texture segmentation of images—0
Graph-FCN for image semantic segmentation—0
Generative Hard Example Augmentation for Semantic Point Cloud Segmentation—0
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation—0
GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs—0
Graph Neural Network and Superpixel Based Brain Tissue Segmentation (Corrected Version)—0
Graph-Segmenter: Graph Transformer with Boundary-aware Attention for Semantic Segmentation—0
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation—0
Improve Cross-Modality Segmentation by Treating T1-Weighted MRI Images as Inverted CT Scans—0
Grasp Anything: Combining Teacher-Augmented Policy Gradient Learning with Instance Segmentation to Grasp Arbitrary Objects—0
Color Recognition in Challenging Lighting Environments: CNN Approach—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