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Segmentation

Papers

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Showing 6301–6325 of 13072 papers

TitleStatusHype
Iterative, Deep Synthetic Aperture Sonar Image Segmentation—0
A Comprehensive Survey on Video Scene Parsing:Advances, Challenges, and Prospects—0
From Real to Synthetic and Back: Synthesizing Training Data for Multi-Person Scene Understanding—0
From Raw Text to Universal Dependencies - Look, No Tags!—0
Iterative Instance Segmentation—0
Iterative Interaction Training for Segmentation Editing Networks—0
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation—0
Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning—0
From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation—0
Closer to Ground Truth: Realistic Shape and Appearance Labeled Data Generation for Unsupervised Underwater Image Segmentation—0
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study—0
From Pixels to Images: Deep Learning Advances in Remote Sensing Image Semantic Segmentation—0
From Open-Vocabulary to Vocabulary-Free Semantic Segmentation—0
Closed-Loop Adaptation for Weakly-Supervised Semantic Segmentation—0
From Image-level to Pixel-level Labeling with Convolutional Networks—0
Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease—0
Cylindrical Transform: 3D Semantic Segmentation of Kidneys With Limited Annotated Images—0
Iterative Utterance Segmentation for Neural Semantic Parsing—0
From Generalization to Precision: Exploring SAM for Tool Segmentation in Surgical Environments—0
Closed-Form Training of Conditional Random Fields for Large Scale Image Segmentation—0
Are Visual Recognition Models Robust to Image Compression?—0
It's Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos—0
Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy—0
IVGF: The Fusion-Guided Infrared and Visible General Framework—0
From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments—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