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Segmentation

Papers

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Showing 9701–9725 of 13072 papers

TitleStatusHype
Self-supervised Video Object Segmentation with Distillation Learning of Deformable Attention—0
Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging—0
Self-Supervised Vision Transformers Are Efficient Segmentation Learners for Imperfect Labels—0
Self-Supervised Visual Terrain Classification from Unsupervised Acoustic Feature Learning—0
Self-trained Panoptic Segmentation—0
Self-Training Based Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation—0
Self-training with dual uncertainty for semi-supervised medical image segmentation—0
Semantic 3D Occupancy Mapping through Efficient High Order CRFs—0
Semantically Accurate Super-Resolution Generative Adversarial Networks—0
Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation—0
Semantically Coherent Co-Segmentation and Reconstruction of Dynamic Scenes—0
Framework-agnostic Semantically-aware Global Reasoning for Segmentation—0
Semantically-Guided Video Object Segmentation—0
Semantically Informed Multiview Surface Refinement—0
Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images—0
Semantic Aware Data Augmentation for Cell Nuclei Microscopical Images With Artificial Neural Networks—0
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation—0
Semantic Channels for Fast Pedestrian Detection—0
Semantic Context Encoding for Accurate 3D Point Cloud Segmentation—0
Semantic decomposition Network with Contrastive and Structural Constraints for Dental Plaque Segmentation—0
Semantic Diffusion Network for Semantic Segmentation—0
Semantic Editing On Segmentation Map Via Multi-Expansion Loss—0
Semantic Feature Attention Network for Liver Tumor Segmentation in Large-scale CT database—0
SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments—0
Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting—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