SOTAVerified

Semantic Segmentation

Papers

Showing 57515775 of 14763 papers

TitleStatusHype
Generative Semantic SegmentationCode2
M^2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image SegmentationCode2
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning0
A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation0
Uncertainty Driven Bottleneck Attention U-net for Organ at Risk SegmentationCode0
MECPformer: Multi-estimations Complementary Patch with CNN-Transformers for Weakly Supervised Semantic SegmentationCode0
Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation0
Towards Diverse Binary Segmentation via A Simple yet General Gated NetworkCode2
Adaptive Multi-source Predictor for Zero-shot Video Object SegmentationCode1
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image SegmentationCode1
Lung segmentation with NASNet-Large-Decoder NetCode0
Extracting Class Activation Maps from Non-Discriminative Features as wellCode1
Edge-aware Plug-and-play Scheme for Semantic Segmentation0
Artificial Intelligence for Sustainability: Facilitating Sustainable Smart Product-Service Systems with Computer Vision0
LSwinSR: UAV Imagery Super-Resolution based on Linear Swin TransformerCode1
Exploring Sparse Visual Prompt for Domain Adaptive Dense PredictionCode1
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation0
Prototype Knowledge Distillation for Medical Segmentation with Missing ModalityCode1
Unified Mask Embedding and Correspondence Learning for Self-Supervised Video SegmentationCode0
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image SegmentationCode2
Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation0
Preventing Unauthorized AI Over-Analysis by Medical Image Adversarial Watermarking0
DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation0
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
Global Knowledge Calibration for Fast Open-Vocabulary 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
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