SOTAVerified

Semantic Segmentation

Papers

Showing 33763400 of 14763 papers

TitleStatusHype
Instance Segmentation for Autonomous Log Grasping in Forestry OperationsCode1
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion SegmentationCode1
Decoder Denoising Pretraining for Semantic SegmentationCode1
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net modelsCode1
Instance Segmentation in 3D Scenes using Semantic Superpoint Tree NetworksCode1
Decomposed Knowledge Distillation for Class-Incremental Semantic SegmentationCode1
Decomposing 3D Scenes into Objects via Unsupervised Volume SegmentationCode1
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?Code1
Instance Segmentation of Dense and Overlapping Objects via LayeringCode1
InstantDL-An easy-to-use deep learning pipeline for image segmentation and classificationCode1
Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networksCode1
M6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout AnalysisCode1
MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed ImagesCode1
Decoupled Dynamic Filter NetworksCode1
Decoupled Local Aggregation for Point Cloud LearningCode1
BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance SegmentationCode1
M^3-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object SegmentationCode1
Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and GrounderCode1
Inter-slice Context Residual Learning for 3D Medical Image SegmentationCode1
Integrative Analysis for COVID-19 Patient Outcome PredictionCode1
DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual TasksCode1
DecoupleNet: Decoupled Network for Domain Adaptive Semantic SegmentationCode1
SCPNet: Semantic Scene Completion on Point CloudCode1
M^4oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of ExpertsCode1
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain AdaptationCode1
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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