SOTAVerified

Semantic Segmentation

Papers

Showing 26012625 of 14763 papers

TitleStatusHype
Coherent Reconstruction of Multiple Humans from a Single ImageCode1
HDBFormer: Efficient RGB-D Semantic Segmentation with A Heterogeneous Dual-Branch FrameworkCode1
Artificial Pupil Dilation for Data Augmentation in Iris Semantic SegmentationCode1
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental SegmentationCode1
Context-Aware Interaction Network for RGB-T Semantic SegmentationCode1
HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic CoastlineCode1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image SegmentationCode1
ACC-UNet: A Completely Convolutional UNet model for the 2020sCode1
HFT: Lifting Perspective Representations via Hybrid Feature TransformationCode1
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic SegmentationCode1
Adversarial Learning for Semi-Supervised Semantic SegmentationCode1
Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentationCode1
Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural DomainCode1
Hierarchical Dense Correlation Distillation for Few-Shot SegmentationCode1
Complementary consistency semi-supervised learning for 3D left atrial image segmentationCode1
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image SegmentationCode1
Collaborative Video Object Segmentation by Multi-Scale Foreground-Background IntegrationCode1
DoNet: Deep De-overlapping Network for Cytology Instance SegmentationCode1
DPT: Deformable Patch-based Transformer for Visual RecognitionCode1
Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation ModelsCode1
Domain Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image SegmentationCode1
Domain Adaptive Semantic Segmentation without Source DataCode1
Domain Adaptation of Echocardiography Segmentation Via Reinforcement LearningCode1
D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic 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
4InternImage-HValidation mIoU62.9Unverified
5M3I Pre-training (InternImage-H)Validation 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