SOTAVerified

Semantic Segmentation

Papers

Showing 37513775 of 14763 papers

TitleStatusHype
Visual Transformers: Token-based Image Representation and Processing for Computer VisionCode1
Boundary-assisted Region Proposal Networks for Nucleus SegmentationCode1
Uncertainty quantification in medical image segmentation with normalizing flowsCode1
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patientsCode1
Belief Propagation Reloaded: Learning BP-Layers for Labeling ProblemsCode1
Learning Saliency Propagation for Semi-Supervised Instance SegmentationCode1
Towards Photo-Realistic Virtual Try-On by Adaptively Generating-Preserving Image ContentCode1
D2Det: Towards High Quality Object Detection and Instance SegmentationCode1
3D Part Guided Image Editing for Fine-Grained Object UnderstandingCode1
Stochastic Classifiers for Unsupervised Domain AdaptationCode1
Interactive Object Segmentation With Inside-Outside GuidanceCode1
3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance SegmentationCode1
A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trialCode1
Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic SegmentationCode1
Dual Super-Resolution Learning for Semantic SegmentationCode1
Computing the Testing Error Without a Testing SetCode1
Online Knowledge Distillation via Collaborative LearningCode1
CenterMask: Real-Time Anchor-Free Instance SegmentationCode1
A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing imagesCode1
Improving Convolutional Networks With Self-Calibrated ConvolutionsCode1
Sparse Layered Graphs for Multi-Object SegmentationCode1
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images SegmentationCode1
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image SegmentationCode1
NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy ImagesCode1
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image SegmentationCode1
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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