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Semantic Segmentation

Papers

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Showing 8901–8925 of 14763 papers

TitleStatusHype
SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds—0
Individual mapping of large polymorphic shrubs in high mountains using satellite images and deep learning—0
Siamese Content Loss Networks for Highly Imbalanced Medical Image Segmentation—0
Siamese Masked Autoencoders—0
SiamPolar: Semi-supervised Realtime Video Object Segmentation with Polar Representation—0
SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis—0
SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information—0
SIESEF-FusionNet: Spatial Inter-correlation Enhancement and Spatially-Embedded Feature Fusion Network for LiDAR Point Cloud Semantic Segmentation—0
Signal Clustering with Class-independent Segmentation—0
Signal Processing and Piecewise Convex Estimation—0
Signed Distance Field based Segmentation and Statistical Shape Modelling of the Left Atrial Appendage—0
Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation—0
Significantly Fast and Robust Fuzzy C-MeansClustering Algorithm Based on MorphologicalReconstruction and Membership Filtering—0
SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentation—0
SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation—0
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation—0
Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation—0
Simple Does It: Weakly Supervised Instance and Semantic Segmentation—0
Simple Interactive Image Segmentation using Label Propagation through kNN graphs—0
Simpler Does It: Generating Semantic Labels with Objectness Guidance—0
Simple Training Strategies and Model Scaling for Object Detection—0
SimPLR: A Simple and Plain Transformer for Scaling-Efficient Object Detection and Segmentation—0
SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation—0
SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks—0
Domain Adaptive Sim-to-Real Segmentation of Oropharyngeal Organs Towards Robot-assisted Intubation—0
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All datasetsADE20KNYU-Depth V2Cityscapes testCityscapes valADE20K valPASCAL ContextS3DIS Area5PASCAL VOC 2012 testS3DISScanNetSUN-RGBDDensePASS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310—Unverified
2ViT-P (InternImage-H)Validation mIoU63.6—Unverified
3ONE-PEACEValidation mIoU63—Unverified
4M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
5InternImage-HValidation mIoU62.9—Unverified
6BEiT-3Validation mIoU62.8—Unverified
7EVAValidation mIoU62.3—Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6—Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5—Unverified
10FD-SwinV2-GValidation mIoU61.4—Unverified