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Segmentation

Papers

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Showing 10451–10500 of 13072 papers

TitleStatusHype
Incorporating Domain Knowledge To Improve Topic Segmentation Of Long MOOC Lecture Videos—0
Incorporating Feature Pyramid Tokenization and Open Vocabulary Semantic Segmentation—0
Incorporating Inner-word and Out-word Features for Mongolian Morphological Segmentation—0
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation—0
Incorporating Near-Infrared Information into Semantic Image Segmentation—0
Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation—0
Incorporating prior knowledge in medical image segmentation: a survey—0
Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis—0
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text—0
NUMSnet: Nested-U Multi-class Segmentation network for 3D Medical Image Stacks—0
An End-to-end 3D Convolutional Neural Network for Action Detection and Segmentation in Videos—0
Incremental Class Discovery for Semantic Segmentation with RGBD Sensing—0
An Empirical Study on the Robustness of the Segment Anything Model (SAM)—0
Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update and Hyper-class Representation—0
Incremental Learning for Fully Unsupervised Word Segmentation Using Penalized Likelihood and Model Selection—0
Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI—0
Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets—0
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation—0
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation—0
Incremental Learning of Affix Segmentation—0
Incremental Learning on Food Instance Segmentation—0
An Empirical Study on Multi-Domain Robust Semantic Segmentation—0
Incrementer: Transformer for Class-Incremental Semantic Segmentation With Knowledge Distillation Focusing on Old Class—0
An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models—0
Towards Deployable OCR models for Indic languages—0
In defense of OSVOS—0
In-depth Assessment of an Interactive Graph-based Approach for the Segmentation for Pancreatic Metastasis in Ultrasound Acquisitions of the Liver with two Specialists in Internal Medicine—0
An Empirical Study of Attention Networks for Semantic Segmentation—0
3D Segmentation Learning from Sparse Annotations and Hierarchical Descriptors—0
Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior—0
Indoor Point Cloud Segmentation Using Iterative Gaussian Mapping and Improved Model Fitting—0
Inductive Biases for Object-Centric Representations in the Presence of Complex Textures—0
Inductive Graph Neural Networks for Moving Object Segmentation—0
Industrial Synthetic Segment Pre-training—0
Inferring morphological rules from small examples using 0/1 linear programming—0
Semantic Implicit Neural Scene Representations With Semi-Supervised Training—0
3D Scene Parsing via Class-Wise Adaptation—0
InfiNet: Fully Convolutional Networks for Infant Brain MRI Segmentation—0
InfLocNet: Enhanced Lung Infection Localization and Disease Detection from Chest X-Ray Images Using Lightweight Deep Learning—0
Influence based explainability of brain tumors segmentation in multimodal Magnetic Resonance Imaging—0
O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation—0
Influence of image segmentation on one-dimensional fluid dynamics predictions in the mouse pulmonary arteries—0
Influence of Prompting Strategies on Segment Anything Model (SAM) for Short-axis Cardiac MRI segmentation—0
Influence of segmentation accuracy in structural MR head scans on electric field computation for TMS and tES—0
Influence of segmentation on deep iris recognition performance—0
An Elastica Geodesic Approach With Convexity Shape Prior—0
An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning—0
Information Entropy Based Feature Pooling for Convolutional Neural Networks—0
OAFormer: Learning Occlusion Distinguishable Feature for Amodal Instance Segmentation—0
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors—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