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Semantic Segmentation

Papers

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Showing 7226–7250 of 14763 papers

TitleStatusHype
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation—0
Label Super Resolution with Inter-Instance Loss—0
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy—0
Bayesian SegNet for Semantic Segmentation with Improved Interpretation of Microstructural Evolution During Irradiation of Materials—0
Label super-resolution networks—0
Label Sharing Incremental Learning Framework for Independent Multi-Label Segmentation Tasks—0
Label Refinement Network for Coarse-to-Fine Semantic Segmentation—0
Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation—0
Bayesian Prediction of Future Street Scenes through Importance Sampling based Optimization—0
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation—0
Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images—0
Label noise in segmentation networks : mitigation must deal with bias—0
Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation—0
Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation—0
Bayesian optimization for modular black-box systems with switching costs—0
Amodal Instance Segmentation with Diffusion Shape Prior Estimation—0
L-MAE: Masked Autoencoders are Semantic Segmentation Datasets Augmenter—0
Land Cover Semantic Segmentation Using ResUNet—0
Deep Multiphase Level Set for Scene Parsing—0
Land use mapping in the Three Gorges Reservoir Area based on semantic segmentation deep learning method—0
Lane detection in complex scenes based on end-to-end neural network—0
Labeling Where Adapting Fails: Cross-Domain Semantic Segmentation with Point Supervision via Active Selection—0
Labeling Panoramas with Spherical Hourglass Networks—0
Deep Multimodal Fusion for Semantic Segmentation of Remote Sensing Earth Observation Data—0
Bayesian nonparametric image segmentation using a generalized Swendsen-Wang algorithm—0
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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