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Segmentation

Papers

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Showing 9551–9600 of 13072 papers

TitleStatusHype
Deep Grouping Model for Unified Perceptual Parsing—0
Learning What to Learn for Video Object SegmentationCode1
A New Multiple Max-pooling Integration Module and Cross Multiscale Deconvolution Network Based on Image Semantic Segmentation—0
Automatic Tissue Segmentation with Deep Learning in Patients with Congenital or Acquired Distortion of Brain Anatomy—0
CRNet: Cross-Reference Networks for Few-Shot Segmentation—0
Organ Segmentation From Full-size CT Images Using Memory-Efficient FCN—0
Monocular Human Pose and Shape Reconstruction using Part Differentiable Rendering—0
Multi-Plateau Ensemble for Endoscopic Artefact Segmentation and DetectionCode1
CF2-Net: Coarse-to-Fine Fusion Convolutional Network for Breast Ultrasound Image Segmentation—0
Learning Dynamic Routing for Semantic SegmentationCode1
Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic ImagesCode1
EPSNet: Efficient Panoptic Segmentation Network with Cross-layer Attention FusionCode1
Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentationCode0
SOLOv2: Dynamic and Fast Instance SegmentationCode2
Robust Medical Instrument Segmentation Challenge 2019—0
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation—0
BiCANet: Bi-directional Contextual Aggregating Network for Image Semantic SegmentationCode0
Deep Learning-Based Concurrent Brain Registration and Tumor SegmentationCode1
A Robotic 3D Perception System for Operating Room Environment Awareness—0
Kidney segmentation using 3D U-Net localized with Expectation Maximization—0
Cross-Shape Attention for Part Segmentation of 3D Point CloudsCode0
ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical ImagingCode0
U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentationCode1
Vox2Vox: 3D-GAN for Brain Tumour SegmentationCode1
Unsupervised deep learning for text line segmentation—0
Brain tumor segmentation with missing modalities via latent multi-source correlation representation—0
Synthesize then Compare: Detecting Failures and Anomalies for Semantic SegmentationCode1
Train, Learn, Expand, Repeat—0
Semi-supervised few-shot learning for medical image segmentation—0
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban RoadwaysCode1
Collaborative Video Object Segmentation by Foreground-Background IntegrationCode1
Confronting the Constraints for Optical Character Segmentation from Printed Bangla Text Image—0
DistNet: Deep Tracking by displacement regression: application to bacteria growing in the Mother MachineCode0
A novel Deep Structure U-Net for Sea-Land Segmentation in Remote Sensing Images—0
1st Place Solutions for OpenImage2019 -- Object Detection and Instance SegmentationCode1
3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images—0
An End-to-end Framework For Low-Resolution Remote Sensing Semantic SegmentationCode1
Segmentation of brain tumor on magnetic resonance imaging using a convolutional architecture—0
TACO: Trash Annotations in Context for Litter DetectionCode1
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation—0
clDice -- A Novel Topology-Preserving Loss Function for Tubular Structure SegmentationCode1
Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic SegmentationCode1
OccuSeg: Occupancy-aware 3D Instance Segmentation—0
Semantic Segmentation of highly class imbalanced fully labelled 3D volumetric biomedical images and unsupervised Domain Adaptation of the pre-trained Segmentation Network to segment another fully unlabelled Biomedical 3D Image stack—0
Recurrent convolutional neural networks for mandible segmentation from computed tomography—0
PointINS: Point-based Instance Segmentation—0
Dual Temporal Memory Network for Efficient Video Object Segmentation—0
Coronary Artery Segmentation from Intravascular Optical Coherence Tomography Using Deep Capsules—0
Livelayer: A Semi-Automatic Software Program for Segmentation of Layers and Diabetic Macular Edema in Optical Coherence Tomography ImagesCode1
Conditional Convolutions for Instance SegmentationCode1
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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