SOTAVerified

Semantic Segmentation

Papers

Showing 22012225 of 14763 papers

TitleStatusHype
Diffusion for Out-of-Distribution Detection on Road Scenes and BeyondCode1
Dilated convolution with learnable spacingsCode1
Vector Quantized Bayesian Neural Network Inference for Data StreamsCode1
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic ParsingCode1
DIDFuse: Deep Image Decomposition for Infrared and Visible Image FusionCode1
Differentiable Soft-Masked AttentionCode1
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic SegmentationCode1
DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image SegmentationCode1
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote SensingCode1
DSU-Net:An Improved U-Net Model Based on DINOv2 and SAM2 with Multi-scale Cross-model Feature EnhancementCode1
A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing imagesCode1
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time AdaptationCode1
DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequencesCode1
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic SegmentationCode1
D-Former: A U-shaped Dilated Transformer for 3D Medical Image SegmentationCode1
DeVIS: Making Deformable Transformers Work for Video Instance SegmentationCode1
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
CCDWT-GAN: Generative Adversarial Networks Based on Color Channel Using Discrete Wavelet Transform for Document Image BinarizationCode1
Deep High-Resolution Representation Learning for Visual RecognitionCode1
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
CENet: Context Enhancement Network for Medical Image SegmentationCode1
DETRs with Hybrid MatchingCode1
CC-Net: Image Complexity Guided Network Compression for Biomedical Image SegmentationCode1
ABCNet: Attentive Bilateral Contextual Network for Efficient Semantic Segmentation of Fine-Resolution Remote Sensing ImagesCode1
CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive 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