SOTAVerified

Segmentation

Papers

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Showing 10176–10200 of 13072 papers

TitleStatusHype
USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation—0
Using a Goodness Measurement for Domain Adaptation: A Case Study on Chinese Word Segmentation—0
Using Anatomical Markers for Left Ventricular Segmentation of Long Axis Ultrasound Images—0
Using Context to Improve Word Segmentation—0
Using Contextual Information for Sentence-level Morpheme Segmentation—0
Using depth information and colour space variations for improving outdoor robustness for instance segmentation of cabbage—0
Using Diffusion Priors for Video Amodal Segmentation—0
Using Foundation Models as Pseudo-Label Generators for Pre-Clinical 4D Cardiac CT Segmentation—0
Using GANs to Augment Data for Cloud Image Segmentation Task—0
Using Graph Neural Networks for Program Termination—0
Using Image Priors to Improve Scene Understanding—0
Using Information to Amplify Competition—0
Using Soft Labels to Model Uncertainty in Medical Image Segmentation—0
Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy—0
Using super-resolution for enhancing visual perception and segmentation performance in veterinary cytology—0
Using t-distributed stochastic neighbor embedding for visualization and segmentation of 3D point clouds of plants—0
Using the Split Bregman Algorithm to Solve the Self-repelling Snake Model—0
Using U-Net Network for Efficient Brain Tumor Segmentation in MRI Images—0
US-net for robust and efficient nuclei instance segmentation—0
Utilizing Large Scale Vision and Text Datasets for Image Segmentation from Referring Expressions—0
Utilizing Pre-trained and Large Language Models for 10-K Items Segmentation—0
Utilizing Transfer Learning and a Customized Loss Function for Optic Disc Segmentation from Retinal Images—0
Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers—0
UT-Net: Combining U-Net and Transformer for Joint Optic Disc and Cup Segmentation and Glaucoma Detection—0
UVIS: Unsupervised Video Instance 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