SOTAVerified

Semantic Segmentation

Papers

Showing 47514775 of 14763 papers

TitleStatusHype
Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI SegmentationCode0
Multi-Aperture Fusion of Transformer-Convolutional Network (MFTC-Net) for 3D Medical Image Segmentation and VisualizationCode0
MuGNet: Multi-Resolution Graph Neural Network for Large-Scale Pointcloud SegmentationCode0
Multi-encoder parse-decoder network for sequential medical image segmentationCode0
DARCNN: Domain Adaptive Region-based Convolutional Neural Network forUnsupervised Instance Segmentation in Biomedical ImagesCode0
DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical ImagesCode0
MSG-SR-Net: A Weakly Supervised Network Integrating Multi-Scale Generation and Super-Pixel Refinement for Building Extraction from High-Resolution Remotely Sensed ImageriesCode0
MSN: Efficient Online Mask Selection Network for Video Instance SegmentationCode0
DAN-NucNet: A dual attention based framework for nuclei segmentation in cancer histology images under wild clinical conditionsCode0
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of AbstractionCode0
MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image SegmentationCode0
A Language-Guided Benchmark for Weakly Supervised Open Vocabulary Semantic SegmentationCode0
DAM-AL: Dilated Attention Mechanism with Attention Loss for 3D Infant Brain Image SegmentationCode0
A Cross-Season Correspondence Dataset for Robust Semantic SegmentationCode0
Automatically Adaptive Conformal Risk ControlCode0
MRF-UNets: Searching UNet with Markov Random FieldsCode0
Ground-truth or DAER: Selective Re-query of Secondary InformationCode0
MovSAM: A Single-image Moving Object Segmentation Framework Based on Deep ThinkingCode0
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approachCode0
DADA: Depth-aware Domain Adaptation in Semantic SegmentationCode0
DACov: A Deeper Analysis of Data Augmentation on the Computed Tomography Segmentation ProblemCode0
DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic SegmentationCode0
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy ImagesCode0
Automated Segmentation of Cervical Nuclei in Pap Smear Images using Deformable Multi-path Ensemble ModelCode0
D3S -- A Discriminative Single Shot Segmentation TrackerCode0
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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