SOTAVerified

Semantic Segmentation

Papers

Showing 35513575 of 14763 papers

TitleStatusHype
Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware LearningCode1
Balancing Discriminability and Transferability for Source-Free Domain AdaptationCode1
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation ModelsCode1
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance SegmentationCode1
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labelsCode1
Self-positioning Point-based Transformer for Point Cloud UnderstandingCode1
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion ApproachCode1
Deep learning for radar data exploitation of autonomous vehicleCode1
AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain TumorCode1
Self-supervised Augmentation Consistency for Adapting Semantic SegmentationCode1
BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic SegmentationCode1
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic SegmentationCode1
DSAT-Net: Dual Spatial Attention Transformer for Building Extraction from Aerial ImagesCode1
Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic SegmentationCode1
Enhanced Boundary Learning for Glass-like Object SegmentationCode1
Self-Supervised Learning of Lidar Segmentation for Autonomous Indoor NavigationCode1
Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation ModelsCode1
Self-Supervised Learning with Kernel Dependence MaximizationCode1
Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2Code1
Self-Supervised Learning with Swin TransformersCode1
Baseline Systems and Evaluation Metrics for Spatial Semantic Segmentation of Sound ScenesCode1
Event-Free Moving Object Segmentation from Moving Ego VehicleCode1
Self-Supervised Pretraining for 2D Medical Image SegmentationCode1
Self-Supervised Pretraining of 3D Features on any Point-CloudCode1
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object 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