SOTAVerified

Semantic Segmentation

Papers

Showing 75017525 of 14763 papers

TitleStatusHype
WaveMix: A Resource-efficient Neural Network for Image AnalysisCode1
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image0
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature DistillationCode2
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNNCode4
PSTNet: Point Spatio-Temporal Convolution on Point Cloud SequencesCode1
Harnessing Artificial Intelligence to Infer Novel Spatial Biomarkers for the Diagnosis of Eosinophilic Esophagitis0
Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic SegmentationCode1
Efficient textual explanations for complex road and traffic scenarios based on semantic segmentation0
Fast Vision Transformers with HiLo AttentionCode2
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images0
SemAffiNet: Semantic-Affine Transformation for Point Cloud SegmentationCode1
MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision TransformersCode1
Unsupervised Multi-object Segmentation Using Attention and Soft-argmaxCode1
SHREC 2022: pothole and crack detection in the road pavement using images and RGB-D dataCode0
Semantic Segmentation for Thermal Images: A Comparative Survey0
Structure Unbiased Adversarial Model for Medical Image Segmentation0
UniInst: Unique Representation for End-to-End Instance SegmentationCode1
Deep Gradient Learning for Efficient Camouflaged Object DetectionCode1
SALAD: Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and DetectionCode0
Wavelet Feature Maps Compression for Image-to-Image CNNsCode1
Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation0
UNet#: A UNet-like Redesigning Skip Connections for Medical Image Segmentation0
ASSET: Autoregressive Semantic Scene Editing with Transformers at High ResolutionsCode1
Heuristic Dropout: An Efficient Regularization Method for Medical Image Segmentation ModelsCode0
Accelerating the creation of instance segmentation training sets through bounding box annotation0
Show:102550
← PrevPage 301 of 591Next →

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