SOTAVerified

Segmentation

Papers

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Showing 10176–10200 of 13072 papers

TitleStatusHype
Segmenting Ships in Satellite Imagery With Squeeze and Excitation U-Net—0
Weakly Supervised Multi-Task Learning for Cell Detection and Segmentation—0
Multitask Learning For Different Subword Segmentations In Neural Machine Translation—0
A Soft STAPLE Algorithm Combined with Anatomical Knowledge—0
Team PFDet's Methods for Open Images Challenge 2019—0
Unified Multi-scale Feature Abstraction for Medical Image Segmentation—0
Using Segmentation Masks in the ICCV 2019 Learning to Drive ChallengeCode0
Perceptual-assisted Adversarial Adaptation for Choroid Segmentation in optical coherence tomography—0
Random 2.5D U-net for Fully 3D Segmentation—0
Liver Segmentation from Multimodal Images using HED-Mask R-CNN—0
Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon GlandsCode0
Deep generative model-driven multimodal prostate segmentation in radiotherapy—0
J Regularization Improves Imbalanced Multiclass Segmentation—0
Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI—0
Penalizing small errors using an Adaptive Logarithmic Loss—0
Vehicle detection and counting from VHR satellite images: efforts and open issues—0
Towards Automatic Annotation for Semantic Segmentation in Drone Videos—0
Trident Segmentation CNN: A Spatiotemporal Transformation CNN for Punctate White Matter Lesions Segmentation in Preterm NeonatesCode0
Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net—0
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep LearningCode0
Deep Mouse: An End-to-end Auto-context Refinement Framework for Brain Ventricle and Body Segmentation in Embryonic Mice Ultrasound Volumes—0
Combining Shape Priors with Conditional Adversarial Networks for Improved Scapula Segmentation in MR images—0
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound ImagesCode0
Fast Portrait Segmentation with Highly Light-weight Network—0
MixModule: Mixed CNN Kernel Module for Medical Image 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