SOTAVerified

Semantic Segmentation

Papers

Showing 20512075 of 14763 papers

TitleStatusHype
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic SegmentationCode1
Dilated convolution with learnable spacingsCode1
Diffusion Model as Representation LearnerCode1
Diffusion for Out-of-Distribution Detection on Road Scenes and BeyondCode1
Diffusion Model is Secretly a Training-free Open Vocabulary Semantic SegmenterCode1
Cached Transformers: Improving Transformers with Differentiable Memory CacheCode1
Advancing Vision Transformers with Group-Mix AttentionCode1
Diffusion Features to Bridge Domain Gap for Semantic SegmentationCode1
Learning Spatio-Appearance Memory Network for High-Performance Visual TrackingCode1
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuningCode1
A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic SegmentationCode1
DifFSS: Diffusion Model for Few-Shot Semantic SegmentationCode1
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic SegmentationCode1
Advancing Semantic Future Prediction through Multimodal Visual Sequence TransformersCode1
Vector Quantized Bayesian Neural Network Inference for Data StreamsCode1
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image SegmentationCode1
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic ParsingCode1
Channelized Axial Attention for Semantic Segmentation -- Considering Channel Relation within Spatial Attention for Semantic SegmentationCode1
Differentiable Soft-Masked AttentionCode1
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion modelsCode1
DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequencesCode1
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote SensingCode1
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising ModelsCode1
DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image SegmentationCode1
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised 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