SOTAVerified

Semantic Segmentation

Papers

Showing 63016325 of 14763 papers

TitleStatusHype
KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-LevelCode0
Label conditioned segmentationCode0
LatticeNet: Fast Point Cloud Segmentation Using Permutohedral LatticesCode0
Key Patch Proposer: Key Patches Contain Rich InformationCode0
CAMEL: A Weakly Supervised Learning Framework for Histopathology Image SegmentationCode0
Kernelized Weighted SUSAN based Fuzzy C-Means Clustering for Noisy Image SegmentationCode0
Kernel Normalized Convolutional NetworksCode0
EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN ScenesCode0
KDMOS:Knowledge Distillation for Motion SegmentationCode0
Joint segmentation and discontinuity-preserving deformable registration: Application to cardiac cine-MR imagesCode0
Joint Representation Learning for Text and 3D Point CloudCode0
EDADepth: Enhanced Data Augmentation for Monocular Depth EstimationCode0
Calibration-based Dual Prototypical Contrastive Learning Approach for Domain Generalization Semantic SegmentationCode0
"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban DrivingCode0
Joint Learning of Saliency Detection and Weakly Supervised Semantic SegmentationCode0
Joint network for specular highlight detection and adversarial generation of specular-free images trained with polarimetric dataCode0
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentationCode0
Joint Learning of Intrinsic Images and Semantic SegmentationCode0
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in SegmentationCode0
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network AcceleratorsCode0
Calibrating Segmentation Networks with Margin-based Label SmoothingCode0
Addressing a fundamental limitation in deep vision models: lack of spatial attentionCode0
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principleCode0
Hybrid-Fusion Transformer for Multisequence MRICode0
Joint Learning of Deep Texture and High-Frequency Features for Computer-Generated Image DetectionCode0
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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
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