SOTAVerified

Semantic Segmentation

Papers

Showing 63266350 of 14763 papers

TitleStatusHype
Atrous Space Bender U-Net (ASBU-Net/LogiNet)0
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic SegmentationCode2
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management0
LOANet: A Lightweight Network Using Object Attention for Extracting Buildings and Roads from UAV Aerial Remote Sensing ImagesCode0
An annotated instance segmentation XXL-CT data-set from a historic airplane0
Context Label Learning: Improving Background Class Representations in Semantic SegmentationCode1
Semi-Siamese Network for Robust Change Detection Across Different Domains with Applications to 3D Printing0
Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation0
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration0
Unsupervised Object Localization: Observing the Background to Discover ObjectsCode1
SBSS: Stacking-Based Semantic Segmentation Framework for Very High Resolution Remote Sensing Image0
Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation0
EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance SegmentationCode1
Learning a Fast 3D Spectral Approach to Object Segmentation and Tracking over Space and Time0
FlexiViT: One Model for All Patch SizesCode1
Fully Complex-valued Fully Convolutional Multi-feature Fusion Network (FC2MFN) for Building Segmentation of InSAR images0
MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds0
M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient SupervisionCode0
One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformers0
RTMDet: An Empirical Study of Designing Real-Time Object DetectorsCode4
Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation0
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group PropagationCode1
Look Before You Match: Instance Understanding Matters in Video Object Segmentation0
CAT: Learning to Collaborate Channel and Spatial Attention from Multi-Information Fusion0
Efficient Bayesian Uncertainty Estimation for nnU-Net0
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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