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Segmentation

Papers

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Showing 8101–8150 of 13072 papers

TitleStatusHype
Neural Radiance Projection—0
Neural Regularized Domain Adaptation for Chinese Word Segmentation—0
Eyenet: Attention based Convolutional Encoder-Decoder Network for Eye Region Segmentation—0
CaveSeg: Deep Semantic Segmentation and Scene Parsing for Autonomous Underwater Cave Exploration—0
EyeLoveGAN: Exploiting domain-shifts to boost network learning with cycleGANs—0
Neural Stain Normalization and Unsupervised Classification of Cell Nuclei in Histopathological Breast Cancer Images—0
Neural Token Segmentation for High Token-Internal Complexity—0
Neural Volumetric Object Selection—0
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation—0
Towards annotation-efficient segmentation via image-to-image translation—0
Extreme Point Supervised Instance Segmentation—0
ExtremeMETA: High-speed Lightweight Image Segmentation Model by Remodeling Multi-channel Metamaterial Imagers—0
Neuromorphic Vision-based Motion Segmentation with Graph Transformer Neural Network—0
Early Detection of Myocardial Infarction in Low-Quality Echocardiography—0
Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan?—0
Neuron Segmentation Using Deep Complete Bipartite Networks—0
Neuroplastic graph attention networks for nuclei segmentation in histopathology images—0
Early Explorations of Lightweight Models for Wound Segmentation on Mobile Devices—0
Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation—0
Early Fusion of Features for Semantic Segmentation—0
Neutro-Connectedness Cut—0
New region force for variational models in image segmentation and high dimensional data clustering—0
A Dual-fusion Semantic Segmentation Framework With GAN For SAR Images—0
Next Generation Multicuts for Semi-Planar Graphs—0
Extraction of Vascular Wall in Carotid Ultrasound via a Novel Boundary-Delineation Network—0
Extraction of the Argument Structure of Tokyo Metropolitan Assembly Minutes: Segmentation of Question-and-Answer Sets—0
Extraction of Skin Lesions from Non-Dermoscopic Images Using Deep Learning—0
Causal Prototype-inspired Contrast Adaptation for Unsupervised Domain Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery—0
Extraction of Line Word Character Segments Directly from Run Length Compressed Printed Text Documents—0
Extracting Tree-structures in CT data by Tracking Multiple Statistically Ranked Hypotheses—0
Extracting Semantic Knowledge from GANs with Unsupervised Learning—0
Extracting Lungs from CT Images using Fully Convolutional Networks—0
Causal Intervention for Weakly-Supervised Semantic Segmentation—0
An overlapping-free leaf segmentation method for plant point clouds—0
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data—0
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation—0
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI—0
A Novel Vision Transformer for Camera-LiDAR Fusion based Traffic Object Segmentation—0
Extending nnU-Net is all you need—0
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
Open-Set Semantic Segmentation for Point Clouds via Adversarial Prototype Framework—0
Open Source Infrastructure for Automatic Cell Segmentation—0
A Novel Upsampling and Context Convolution for Image Semantic Segmentation—0
CathFlow: Self-Supervised Segmentation of Catheters in Interventional Ultrasound Using Optical Flow and Transformers—0
Catheter Detection and Segmentation in X-ray Images via Multi-task Learning—0
Semi-supervised learning for generalizable intracranial hemorrhage detection and segmentation—0
A Novel Unsupervised Domain Adaption Method for Depth-Guided Semantic Segmentation Using Coarse-to-Fine Alignment—0
Non-Deterministic Segmentation for Chinese Lattice Parsing—0
Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning—0
Open-Source Manually Annotated Vocal Tract Database for Automatic Segmentation from 3D MRI Using Deep Learning: Benchmarking 2D and 3D Convolutional and Transformer Networks—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