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Segmentation

Papers

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Showing 8151–8175 of 13072 papers

TitleStatusHype
ADNP-15: An Open-Source Histopathological Dataset for Neuritic Plaque Segmentation in Human Brain Whole Slide Images with Frequency Domain Image Enhancement for Stain Normalization—0
ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps—0
A Novel Upsampling and Context Convolution for Image Semantic Segmentation—0
Non-local RoIs for Instance Segmentation—0
Nonparametric Bayesian Semi-supervised Word Segmentation—0
Nonparametric clustering for image segmentation—0
Non Parametric Data Augmentations Improve Deep-Learning based Brain Tumor Segmentation—0
Nonparametric Model for Inupiaq Word Segmentation—0
Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision—0
CathFlow: Self-Supervised Segmentation of Catheters in Interventional Ultrasound Using Optical Flow and Transformers—0
Edge-aware Feature Aggregation Network for Polyp Segmentation—0
NoPeopleAllowed: The Three-Step Approach to Weakly Supervised Semantic Segmentation—0
Edge Aware Learning for 3D Point Cloud—0
Normalized Cut Loss for Weakly-supervised CNN Segmentation—0
Catheter Detection and Segmentation in X-ray Images via Multi-task Learning—0
Normalized Feature Distillation for Semantic Segmentation—0
A Novel Unsupervised Domain Adaption Method for Depth-Guided Semantic Segmentation Using Coarse-to-Fine Alignment—0
Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection—0
Open-World Panoptic Segmentation—0
Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding—0
Optimal Latent Vector Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation—0
Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation—0
Optimized Global Perturbation Attacks For Brain Tumour ROI Extraction From Binary Classification Models—0
Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM2—0
O-TALC: Steps Towards Combating Oversegmentation within Online Action Segmentation—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