SOTAVerified

Semantic Segmentation

Papers

Showing 86018625 of 14763 papers

TitleStatusHype
CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds0
MedAI: Transparency in Medical Image SegmentationCode0
Pixel-Level Analysis for Enhancing Threat Detection in Large-Scale X-ray Security ImagesCode0
PointNu-Net: Keypoint-assisted Convolutional Neural Network for Simultaneous Multi-tissue Histology Nuclei Segmentation and ClassificationCode1
Multi-Scale High-Resolution Vision Transformer for Semantic SegmentationCode1
Dense Prediction with Attentive Feature Aggregation0
Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy0
Geodesic Models with Convexity Shape Prior0
Redundancy Reduction in Semantic Segmentation of 3D Brain Tumor MRIs0
Creating A Coefficient of Change in the Built Environment After a Natural Disaster0
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentationCode0
Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation0
Learning Debiased and Disentangled Representations for Semantic Segmentation0
DRBANET: A Lightweight Dual-Resolution Network for Semantic Segmentation with Boundary Auxiliary0
Focal Attention Networks: optimising attention for biomedical image segmentation0
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation0
PatchFormer: An Efficient Point Transformer with Patch Attention0
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning0
Unsupervised Foreground Extraction via Deep Region CompetitionCode1
Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image SegmentationCode0
Deep Deterministic Uncertainty for Semantic Segmentation0
AI-Powered Semantic Segmentation and Fluid Volume Calculation of Lung CT images in Covid-19 Patients0
3D-OOCS: Learning Prostate Segmentation with Inductive BiasCode0
False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation0
C-MADA: Unsupervised Cross-Modality Adversarial Domain Adaptation framework for medical Image Segmentation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310Unverified
2ViT-P (InternImage-H)Validation mIoU63.6Unverified
3ONE-PEACEValidation mIoU63Unverified
4M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
5InternImage-HValidation mIoU62.9Unverified
6BEiT-3Validation mIoU62.8Unverified
7EVAValidation mIoU62.3Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5Unverified
10FD-SwinV2-GValidation mIoU61.4Unverified