SOTAVerified

Segmentation

Papers

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Showing 4026–4050 of 13072 papers

TitleStatusHype
Boosted Training of Convolutional Neural Networks for Multi-Class Segmentation—0
Dynamic Point Cloud Compression with Cross-Sectional Approach—0
Activating the Discriminability of Novel Classes for Few-shot Segmentation—0
Dynamic Prompting of Frozen Text-to-Image Diffusion Models for Panoptic Narrative Grounding—0
Dynamic region proposal networks for semantic segmentation in automated glaucoma screening—0
3D Segmentation of Neuronal Nuclei and Cell-Type Identification using Multi-channel Information—0
Deep Learning-Based Fetal Lung Segmentation from Diffusion-weighted MRI Images and Lung Maturity Evaluation for Fetal Growth Restriction—0
Deep learning based fence segmentation and removal from an image using a video sequence—0
Dynamic Snake Upsampling Operater and Boundary-Skeleton Weighted Loss for Tubular Structure Segmentation—0
Dynamic-structured Semantic Propagation Network—0
Dynamic Token-Pass Transformers for Semantic Segmentation—0
Automatic Preprocessing and Ensemble Learning for Low Quality Cell Image Segmentation—0
Deep Learning Based Dominant Index Lesion Segmentation for MR-guided Radiation Therapy of Prostate Cancer—0
Deep Learning-Based Direct Leaf Area Estimation using Two RGBD Datasets for Model Development—0
Dynamic Video Segmentation Network—0
Dynamic Y-KD: A Hybrid Approach to Continual Instance Segmentation—0
DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive Segmentation Transformer—0
Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes—0
Boosting Few-shot Semantic Segmentation with Transformers—0
DynSegNet:Dynamic Architecture Adjustment for Adversarial Learning in Segmenting Hemorrhagic Lesions from Fundus Images—0
Automatic Post-Stroke Lesion Segmentation on MR Images using 3D Residual Convolutional Neural Network—0
A Metacognitive Approach to Out-of-Distribution Detection for Segmentation—0
E2E-Swin-Unet++: An Enhanced End-to-End Swin-Unet Architecture With Dual Decoders For PTMC Segmentation—0
E^2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans—0
Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization—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