SOTAVerified

Semantic Segmentation

Papers

Showing 33513375 of 14763 papers

TitleStatusHype
Discriminative Region Suppression for Weakly-Supervised Semantic SegmentationCode1
PointFlow: Flowing Semantics Through Points for Aerial Image SegmentationCode1
Triple-cooperative Video Shadow DetectionCode1
Unknown Object Segmentation from Stereo ImagesCode1
Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve BackbonesCode1
Quality-Aware Network for Human ParsingCode1
AttaNet: Attention-Augmented Network for Fast and Accurate Scene ParsingCode1
U-Net Transformer: Self and Cross Attention for Medical Image SegmentationCode1
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency SpaceCode1
Spatially Consistent Representation LearningCode1
MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic SegmentationCode1
Pixel-wise Anomaly Detection in Complex Driving ScenesCode1
ChangeSim: Towards End-to-End Online Scene Change Detection in Industrial Indoor EnvironmentsCode1
Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic SegmentationCode1
Capturing Omni-Range Context for Omnidirectional SegmentationCode1
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information RegularizationCode1
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic ParsingCode1
Dual-Task Mutual Learning for Semi-Supervised Medical Image SegmentationCode1
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research ChallengesCode1
GANav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor EnvironmentsCode1
TransBTS: Multimodal Brain Tumor Segmentation Using TransformerCode1
NeRD: Neural Representation of Distribution for Medical Image SegmentationCode1
Learning Statistical Texture for Semantic SegmentationCode1
Implicit Integration of Superpixel Segmentation into Fully Convolutional NetworksCode1
Variational Structured Attention Networks for Deep Visual Representation LearningCode1
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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