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Segmentation

Papers

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Showing 6751–6800 of 13072 papers

TitleStatusHype
Fake it, Mix it, Segment it: Bridging the Domain Gap Between Lidar Sensors—0
Building Height Prediction with Instance Segmentation—0
3D Point Cloud Pre-training with Knowledge Distillation from 2D Images—0
Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy—0
Fully and Weakly Supervised Referring Expression Segmentation with End-to-End Learning—0
Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation—0
Analysis and application of multispectral data for water segmentation using machine learningCode0
Lightweight integration of 3D features to improve 2D image segmentationCode0
Atrous Space Bender U-Net (ASBU-Net/LogiNet)—0
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration—0
Learning a Fast 3D Spectral Approach to Object Segmentation and Tracking over Space and Time—0
Multi-task Fusion for Efficient Panoptic-Part Segmentation—0
SBSS: Stacking-Based Semantic Segmentation Framework for Very High Resolution Remote Sensing Image—0
Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation—0
M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient SupervisionCode0
Fully Complex-valued Fully Convolutional Multi-feature Fusion Network (FC2MFN) for Building Segmentation of InSAR images—0
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic ExpertsCode0
Towards fully automated deep-learning-based brain tumor segmentation: is brain extraction still necessary?Code0
Body Segmentation Using Multi-task Learning—0
Look Before You Match: Instance Understanding Matters in Video Object Segmentation—0
Connectivity-constrained Interactive Panoptic Segmentation—0
Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation—0
Robust Perception through EquivarianceCode0
Efficient Bayesian Uncertainty Estimation for nnU-Net—0
Boundary-rendering network for breast lesion segmentation in ultrasound images—0
Tencent AVS: A Holistic Ads Video Dataset for Multi-modal Scene Segmentation—0
An Empirical Study on Multi-Domain Robust Semantic Segmentation—0
AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation—0
Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data—0
Few-shot Medical Image Segmentation with Cycle-resemblance Attention—0
A segmentation method of airway from chest CT image based on Vgg-Unet neural networkCode0
Framework-agnostic Semantically-aware Global Reasoning for Segmentation—0
A new eye segmentation method based on improved U2Net in TCM eye diagnosisCode0
Video Object of Interest Segmentation—0
Double U-Net for Super-Resolution and Segmentation of Live Cell Images—0
Minimum Class Confusion based Transfer for Land Cover Segmentation in Rural and Urban Regions—0
Location-Aware Self-Supervised Transformers for Semantic Segmentation—0
MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain—0
Active learning using adaptable task-based prioritisation—0
Activating the Discriminability of Novel Classes for Few-shot Segmentation—0
Investigating certain choices of CNN configurations for brain lesion segmentation—0
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks—0
Reliable Joint Segmentation of Retinal Edema Lesions in OCT ImagesCode0
3D Segmentation of Humans in Point Clouds with Synthetic Data—0
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple ratersCode0
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars—0
Component Segmentation of Engineering Drawings Using Graph Convolutional Networks—0
DSNet: a simple yet efficient network with dual-stream attention for lesion segmentation—0
MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine LearningCode0
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis InitiativeCode0
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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