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Semantic Segmentation

Papers

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Showing 7176–7200 of 14763 papers

TitleStatusHype
Deep Slice Interpolation via Marginal Super-Resolution, Fusion and Refinement—0
Bellybutton: Accessible and Customizable Deep-Learning Image Segmentation—0
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation—0
Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems—0
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training—0
SurgPose: Generalisable Surgical Instrument Pose Estimation using Zero-Shot Learning and Stereo Vision—0
Deep Semantic Segmentation of Natural and Medical Images: A Review—0
Deep Semantic Segmentation for Multi-Source Localization Using Angle of Arrival Measurements—0
BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation—0
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges—0
Deep Semantic Instance Segmentation of Tree-like Structures Using Synthetic Data—0
Scale-Space Hypernetworks for Efficient Biomedical Imaging—0
AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts—0
Deep Semantic Graph Matching for Large-scale Outdoor Point Clouds Registration—0
Deep Self-Cleansing for Medical Image Segmentation with Noisy Labels—0
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection—0
BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation—0
Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge—0
Deep Retinal Image Segmentation with Regularization Under Geometric Priors—0
Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network—0
A Model of Virtual Carrier Immigration in Digital Images for Region Segmentation—0
AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label Correction—0
Semi-Supervised Domain Adaptation with Representation Learning for Semantic Segmentation across Time—0
Be Careful What You Backpropagate: A Case For Linear Output Activations & Gradient Boosting—0
Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey—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