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Semantic Segmentation

Papers

Showing 37263750 of 14763 papers

TitleStatusHype
Stochastic Classifiers for Unsupervised Domain AdaptationCode1
Evolving Normalization-Activation LayersCode1
STPNet: Scale-aware Text Prompt Network for Medical Image SegmentationCode1
Latent Diffusion for Medical Image Segmentation: End to end learning for fast sampling and accuracyCode1
StreamMOS: Streaming Moving Object Segmentation with Multi-View Perception and Dual-Span MemoryCode1
EViT-Unet: U-Net Like Efficient Vision Transformer for Medical Image Segmentation on Mobile and Edge DevicesCode1
Evidential fully convolutional network for semantic segmentationCode1
EViT: An Eagle Vision Transformer with Bi-Fovea Self-AttentionCode1
Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic SegmentationCode1
Learning Deformable Image Registration from Optimization: Perspective, Modules, Bilevel Training and BeyondCode1
Style Blind Domain Generalized Semantic Segmentation via Covariance Alignment and Semantic Consistence Contrastive LearningCode1
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain GeneralizationCode1
Extract Free Dense Labels from CLIPCode1
Excavating the Potential Capacity of Self-Supervised Monocular Depth EstimationCode1
DenseCLIP: Language-Guided Dense Prediction with Context-Aware PromptingCode1
Dense Contrastive Learning for Self-Supervised Visual Pre-TrainingCode1
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot SegmentationCode1
Exploiting Diffusion Prior for Generalizable Dense PredictionCode1
Exploring Event-driven Dynamic Context for Accident Scene SegmentationCode1
SupeRGB-D: Zero-shot Instance Segmentation in Cluttered Indoor EnvironmentsCode1
Superpixel-based Refinement for Object Proposal GenerationCode1
Superpoint Network for Point Cloud OversegmentationCode1
Superpoint Transformer for 3D Scene Instance SegmentationCode1
Evaluation Study on SAM 2 for Class-agnostic Instance-level SegmentationCode1
Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch AttacksCode1
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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