SOTAVerified

Semantic Segmentation

Papers

Showing 29763000 of 14763 papers

TitleStatusHype
Is Attention Better Than Matrix Decomposition?Code1
ConvMLP: Hierarchical Convolutional MLPs for VisionCode1
FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation DecodingCode1
nnFormer: Interleaved Transformer for Volumetric SegmentationCode1
Ultra-high Resolution Image Segmentation via Locality-aware Context Fusion and Alternating Local EnhancementCode1
Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image TranslationCode1
Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural NetworksCode1
FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic SegmentationCode1
Spatio-temporal Self-Supervised Representation Learning for 3D Point CloudsCode1
Self-supervised Point Cloud Representation Learning via Separating Mixed ShapesCode1
Automatic labelling of urban point clouds using data fusionCode1
Hire-MLP: Vision MLP via Hierarchical RearrangementCode1
LUAI Challenge 2021 on Learning to Understand Aerial ImagesCode1
LIVECell—A large-scale dataset for label-free live cell segmentationCode1
Pseudo-mask Matters in Weakly-supervised Semantic SegmentationCode1
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
Learning Inner-Group Relations on Point CloudsCode1
Single-Image Specular Highlight Removal via Real-World Dataset ConstructionCode1
ISNet: Integrate Image-Level and Semantic-Level Context for Semantic SegmentationCode1
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time TrainingCode1
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution ShiftsCode1
Mining Contextual Information Beyond Image for Semantic SegmentationCode1
Generalize then Adapt: Source-Free Domain Adaptive Semantic SegmentationCode1
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image SegmentationCode1
Real-Time Monocular Human Depth Estimation and Segmentation on Embedded SystemsCode1
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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