SOTAVerified

Semantic Segmentation

Papers

Showing 40764100 of 14763 papers

TitleStatusHype
One-shot Localization and Segmentation of Medical Images with Foundation Models0
SmooSeg: Smoothness Prior for Unsupervised Semantic SegmentationCode1
CARIS: Context-Augmented Referring Image SegmentationCode1
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation0
Instance Segmentation under Occlusions via Location-aware Copy-Paste Data AugmentationCode1
A Self-Supervised Approach to Land Cover Segmentation0
Text Augmented Spatial-aware Zero-shot Referring Image Segmentation0
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation0
Image Prior and Posterior Conditional Probability Representation for Efficient Damage Assessment0
Enhancing sea ice segmentation in Sentinel-1 images with atrous convolutionsCode1
A Deep Learning Approach to Teeth Segmentation and Orientation from Panoramic X-raysCode1
Automating lichen monitoring in ecological studies using instance segmentation of time-lapse images0
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point CloudsCode1
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic SegmentationCode0
Three Pillars improving Vision Foundation Model Distillation for LidarCode1
torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP0
Technical Note: Feasibility of translating 3.0T-trained Deep-Learning Segmentation Models Out-of-the-Box on Low-Field MRI 0.55T Knee-MRI of Healthy Controls0
Virtual Accessory Try-On via Keypoint Hallucination0
Task-driven Prompt Evolution for Foundation Models0
Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo Label Self-Refinement0
Trust, but Verify: Robust Image Segmentation using Deep Learning0
Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image SegmentationCode1
4D-Editor: Interactive Object-level Editing in Dynamic Neural Radiance Fields via Semantic Distillation0
Gramian Attention Heads are Strong yet Efficient Vision LearnersCode0
ParisLuco3D: A high-quality target dataset for domain generalization of LiDAR perception0
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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