SOTAVerified

Semantic Segmentation

Papers

Showing 10011025 of 14763 papers

TitleStatusHype
Deep Learning based Food Instance Segmentation using Synthetic DataCode1
DIOD: Self-Distillation Meets Object DiscoveryCode1
CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-AttentionCode1
CISCA and CytoDArk0: a Cell Instance Segmentation and Classification method for histo(patho)logical image Analyses and a new, open, Nissl-stained dataset for brain cytoarchitecture studiesCode1
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image SegmentationCode1
Discovering Object Masks with Transformers for Unsupervised Semantic SegmentationCode1
Boundary loss for highly unbalanced segmentationCode1
Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene UnderstandingCode1
ClaSP -- Parameter-free Time Series SegmentationCode1
CitySurfaces: City-Scale Semantic Segmentation of Sidewalk MaterialsCode1
Class Adaptive Network CalibrationCode1
Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic SegmentationCode1
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic SegmentationCode1
Class-Difficulty Based Methods for Long-Tailed Visual RecognitionCode1
Class-incremental Continual Learning for Instance Segmentation with Image-level Weak SupervisionCode1
Class Tokens Infusion for Weakly Supervised Semantic SegmentationCode1
Distance Guided Channel Weighting for Semantic SegmentationCode1
Classifying Breast Histopathology Images with a Ductal Instance-Oriented PipelineCode1
Class Re-Activation Maps for Weakly-Supervised Semantic SegmentationCode1
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old LabelsCode1
Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance SegmentationCode1
An Elastic Interaction-Based Loss Function for Medical Image SegmentationCode1
Deep Label Distribution Learning with Label AmbiguityCode1
Boundary-assisted Region Proposal Networks for Nucleus SegmentationCode1
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale AmbiguitiesCode1
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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