SOTAVerified

Semantic Segmentation

Papers

Showing 42764300 of 14763 papers

TitleStatusHype
One Shot Model For COVID-19 Classification and Lesions Segmentation In Chest CT Scans Using LSTM With Attention MechanismCode0
Online Unsupervised Video Object Segmentation via Contrastive Motion ClusteringCode0
An application of cascaded 3D fully convolutional networks for medical image segmentationCode0
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion ModelsCode0
DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion ModelCode0
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous DrivingCode0
On Boosting Semantic Street Scene Segmentation with Weak SupervisionCode0
On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural NetworksCode0
Differentially private federated deep learning for multi-site medical image segmentationCode0
ODFNet: Using orientation distribution functions to characterize 3D point cloudsCode0
OMEGAS: Object Mesh Extraction from Large Scenes Guided by Gaussian SegmentationCode0
Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuliCode0
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor SegmentationCode0
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical ImagingCode0
Object discovery and representation networksCode0
Object Instance Annotation With Deep Extreme Level Set EvolutionCode0
Object Detection from Video Tubelets with Convolutional Neural NetworksCode0
Binary segmentation of medical images using implicit spline representations and deep learningCode0
Object Detection via a Multi-Region and Semantic Segmentation-Aware CNN ModelCode0
DiCENet: Dimension-wise Convolutions for Efficient NetworksCode0
Object detection via a multi-region & semantic segmentation-aware CNN modelCode0
Point Cloud Semantic Segmentation with Sparse and Inhomogeneous AnnotationsCode0
ConStyX: Content Style Augmentation for Generalizable Medical Image SegmentationCode0
Analysis of the performance of U-Net neural networks for the segmentation of living cellsCode0
Bimodal SegNet: Instance Segmentation Fusing Events and RGB Frames for Robotic GraspingCode0
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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
4InternImage-HValidation mIoU62.9Unverified
5M3I Pre-training (InternImage-H)Validation 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