SOTAVerified

Semantic Segmentation

Papers

Showing 11761200 of 14763 papers

TitleStatusHype
D2Det: Towards High Quality Object Detection and Instance SegmentationCode1
dacl10k: Benchmark for Semantic Bridge Damage SegmentationCode1
Unified Domain Adaptive Semantic SegmentationCode1
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic SegmentationCode1
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based PerceptionCode1
CycleMLP: A MLP-like Architecture for Dense PredictionCode1
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble SupervisionCode1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention MechanismCode1
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?Code1
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image SegmentationCode1
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised TransformersCode1
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
A Generalized Framework for Video Instance SegmentationCode1
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesCode1
CV 3315 Is All You Need : Semantic Segmentation CompetitionCode1
D^2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in VideosCode1
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene UnderstandingCode1
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and AnalysisCode1
Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image SegmentationCode1
CTNet: Context-based Tandem Network for Semantic SegmentationCode1
Manhattan Room Layout Reconstruction from a Single 360 image: A Comparative Study of State-of-the-art MethodsCode1
CTVIS: Consistent Training for Online Video Instance SegmentationCode1
A Semantic Segmentation-guided Approach for Ground-to-Aerial Image MatchingCode1
A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trialCode1
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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