SOTAVerified

Semantic Segmentation

Papers

Showing 11511175 of 14763 papers

TitleStatusHype
DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing AttentionCode1
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road ScenesCode1
Deformable Convolutional NetworksCode1
Diffusion Model is Secretly a Training-free Open Vocabulary Semantic SegmenterCode1
Agronav: Autonomous Navigation Framework for Agricultural Robots and Vehicles using Semantic Segmentation and Semantic Line DetectionCode1
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based PerceptionCode1
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention MechanismCode1
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern AnalysisCode1
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic SegmentationCode1
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic SegmentationCode1
D^2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in VideosCode1
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble SupervisionCode1
CV 3315 Is All You Need : Semantic Segmentation CompetitionCode1
CycleMLP: A MLP-like Architecture for Dense PredictionCode1
A Good Foundation is Worth Many Labels: Label-Efficient Panoptic SegmentationCode1
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?Code1
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised TransformersCode1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in VideosCode1
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene UnderstandingCode1
3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D NetworksCode1
Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image SegmentationCode1
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesCode1
AggMask: Exploring locally aggregated learning of mask representations for instance segmentationCode1
CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical 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