SOTAVerified

Semantic Segmentation

Papers

Showing 15761600 of 14763 papers

TitleStatusHype
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea SegmentationCode1
Auto-Compressing Subset Pruning for Semantic Image SegmentationCode1
Annotation-efficient deep learning for automatic medical image segmentationCode1
A Concise Tiling Strategy for Preserving Spatial Context in Earth Observation ImageryCode1
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic SegmentationCode1
Cross-Modal Progressive Comprehension for Referring SegmentationCode1
Cross-modal Learning for Domain Adaptation in 3D Semantic SegmentationCode1
Crossover Learning for Fast Online Video Instance SegmentationCode1
Cross-view Transformers for real-time Map-view Semantic SegmentationCode1
AutoFocusFormer: Image Segmentation off the GridCode1
Flight Contrail Segmentation via Augmented Transfer Learning with Novel SR Loss Function in Hough SpaceCode1
Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image SegmentationCode1
A context based deep learning approach for unbalanced medical image segmentationCode1
AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D ScansCode1
AIF-SFDA: Autonomous Information Filter-driven Source-Free Domain Adaptation for Medical Image SegmentationCode1
Accelerating Video Object Segmentation with Compressed VideoCode1
Cross-View Image Synthesis using Conditional GANsCode1
Class-Difficulty Based Methods for Long-Tailed Visual RecognitionCode1
Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic SegmentationCode1
A Satellite Imagery Dataset for Long-Term Sustainable Development in United States CitiesCode1
Automated Classification of Cell Shapes: A Comparative Evaluation of Shape DescriptorsCode1
Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guideCode1
Cross-View Regularization for Domain Adaptive Panoptic SegmentationCode1
AIM 2020 Challenge on Image Extreme InpaintingCode1
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old LabelsCode1
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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