SOTAVerified

Semantic Segmentation

Papers

Showing 14511475 of 14763 papers

TitleStatusHype
CARIS: Context-Augmented Referring Image SegmentationCode1
SmooSeg: Smoothness Prior for Unsupervised Semantic SegmentationCode1
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point CloudsCode1
Three Pillars improving Vision Foundation Model Distillation for LidarCode1
Enhancing sea ice segmentation in Sentinel-1 images with atrous convolutionsCode1
A Deep Learning Approach to Teeth Segmentation and Orientation from Panoramic X-raysCode1
Robust Source-Free Domain Adaptation for Fundus Image SegmentationCode1
Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image SegmentationCode1
GNeSF: Generalizable Neural Semantic FieldsCode1
Anatomically-aware Uncertainty for Semi-supervised Image SegmentationCode1
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image SegmentationCode1
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation ModelsCode1
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and ApplicationCode1
Diffusion-based Data Augmentation for Nuclei Image SegmentationCode1
Segment, Select, Correct: A Framework for Weakly-Supervised Referring SegmentationCode1
Learning with Unmasked Tokens Drives Stronger Vision LearnersCode1
FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical ImageryCode1
LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task LearningCode1
DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image SegmentationCode1
Minimalist and High-Performance Semantic Segmentation with Plain Vision TransformersCode1
Lidar Panoptic Segmentation and Tracking without Bells and WhistlesCode1
Not Just Learning from Others but Relying on Yourself: A New Perspective on Few-Shot Segmentation in Remote SensingCode1
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical MapsCode1
DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion ModelCode1
Towards Generic Semi-Supervised Framework for Volumetric 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
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