SOTAVerified

Semantic Segmentation

Papers

Showing 24512500 of 14763 papers

TitleStatusHype
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic SegmentationCode1
Capturing Omni-Range Context for Omnidirectional SegmentationCode1
Fast Object Segmentation Learning with Kernel-based Methods for RoboticsCode1
Classification Calibration for Long-tail Instance SegmentationCode1
Coarse-to-Fine Amodal Segmentation with Shape PriorCode1
Fast Video Object Segmentation using the Global Context ModuleCode1
A Probabilistic U-Net for Segmentation of Ambiguous ImagesCode1
Dispel Darkness for Better Fusion: A Controllable Visual Enhancer based on Cross-modal Conditional Adversarial LearningCode1
Classifying Breast Histopathology Images with a Ductal Instance-Oriented PipelineCode1
Advances in Deep Concealed Scene UnderstandingCode1
Dissecting Self-Supervised Learning Methods for Surgical Computer VisionCode1
FCOS: Fully Convolutional One-Stage Object DetectionCode1
Disentangle then Parse: Night-time Semantic Segmentation with Illumination DisentanglementCode1
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old LabelsCode1
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image SegmentationCode1
Feature Alignment and Uniformity for Test Time AdaptationCode1
Disentangle then Parse:Night-time Semantic Segmentation with Illumination DisentanglementCode1
Class Re-Activation Maps for Weakly-Supervised Semantic SegmentationCode1
A2-FPN for Semantic Segmentation of Fine-Resolution Remotely Sensed ImagesCode1
Disjoint Masking with Joint Distillation for Efficient Masked Image ModelingCode1
Distance Guided Channel Weighting for Semantic SegmentationCode1
Class Tokens Infusion for Weakly Supervised Semantic SegmentationCode1
FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous DrivingCode1
DIVA-DAF: A Deep Learning Framework for Historical Document Image AnalysisCode1
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasetsCode1
Federated nnU-Net for Privacy-Preserving Medical Image SegmentationCode1
FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image SegmentationCode1
FedMix: Mixed Supervised Federated Learning for Medical Image SegmentationCode1
Few-Shot Medical Image Segmentation with High-Fidelity PrototypesCode1
Few-Shot Panoptic Segmentation With Foundation ModelsCode1
Few-Shot Segmentation via Cycle-Consistent TransformerCode1
Few-shot Structure-Informed Machinery Part Segmentation with Foundation Models and Graph Neural NetworksCode1
Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?Code1
CLFT: Camera-LiDAR Fusion Transformer for Semantic Segmentation in Autonomous DrivingCode1
FGAseg: Fine-Grained Pixel-Text Alignment for Open-Vocabulary Semantic SegmentationCode1
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware ModellingCode1
Dynamic Graph CNN for Learning on Point CloudsCode1
Dirichlet-based Uncertainty Calibration for Active Domain AdaptationCode1
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative ModelsCode1
Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event CamerasCode1
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantificationCode1
Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and ApplicationsCode1
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor ScenesCode1
Fine-Grained Vehicle Perception via 3D Part-Guided Visual Data AugmentationCode1
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion ModelsCode1
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIPCode1
Discovering Object Masks with Transformers for Unsupervised Semantic SegmentationCode1
Directional Connectivity-based Segmentation of Medical ImagesCode1
CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic SegmentationCode1
AADG: Automatic Augmentation for Domain Generalization on Retinal Image 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
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