SOTAVerified

Semantic Segmentation

Papers

Showing 25512575 of 14763 papers

TitleStatusHype
CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic SegmentationCode1
CMDFusion: Bidirectional Fusion Network with Cross-modality Knowledge Distillation for LIDAR Semantic SegmentationCode1
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote SensingCode1
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image UnderstandingCode1
IFSeg: Image-free Semantic Segmentation via Vision-Language ModelCode1
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationCode1
Learning Gaussian Instance Segmentation in Point CloudsCode1
Can SAM Segment Anything? When SAM Meets Camouflaged Object DetectionCode1
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image SegmentationCode1
HyperionSolarNet: Solar Panel Detection from Aerial ImagesCode1
iBOT: Image BERT Pre-Training with Online TokenizerCode1
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical MapsCode1
COVID-CT-Mask-Net: Prediction of COVID-19 from CT Scans Using Regional FeaturesCode1
Hyper-Convolution Networks for Biomedical Image SegmentationCode1
Argmax Flows and Multinomial Diffusion: Learning Categorical DistributionsCode1
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion modelsCode1
COSNet: A Novel Semantic Segmentation Network using Enhanced Boundaries in Cluttered ScenesCode1
Diffusion for Out-of-Distribution Detection on Road Scenes and BeyondCode1
Ariadne's Thread:Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray imagesCode1
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasksCode1
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image SegmentationCode1
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentationCode1
Adversarial Continual Learning for Multi-Domain Hippocampal SegmentationCode1
Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams using Machine LearningCode1
Co-Scale Conv-Attentional Image TransformersCode1
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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