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Semantic Segmentation

Papers

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Showing 5226–5250 of 14763 papers

TitleStatusHype
Automatic characterization of boulders on planetary surfaces from high-resolution satellite images—0
Data Adaptive Few-shot Multi Label Segmentation with Foundation Model—0
Automatic Cadastral Boundary Detection of Very High Resolution Images Using Mask R-CNN—0
DASNet: Reducing Pixel-level Annotations for Instance and Semantic Segmentation—0
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction—0
DaSeGAN: Domain Adaptation for Segmentation Tasks via Generative Adversarial Networks—0
Darwin's Neural Network: AI-based Strategies for Rapid and Scalable Cell and Coronavirus Screening—0
DARNet: Deep Active Ray Network for Building Segmentation—0
Dark Spot Detection from SAR Images Based on Superpixel Deeper Graph Convolutional Network—0
Automatic Breast Ultrasound Image Segmentation: A Survey—0
A Large-scale Evaluation of Pretraining Paradigms for the Detection of Defects in Electroluminescence Solar Cell Images—0
HD-EPIC: A Highly-Detailed Egocentric Video Dataset—0
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images—0
Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime—0
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks—0
Hausdorff Point Convolution with Geometric Priors—0
Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net—0
DArch: Dental Arch Prior-Assisted 3D Tooth Instance Segmentation With Weak Annotations—0
A Large RGB-D Dataset for Semi-supervised Monocular Depth Estimation—0
HAVANA: Hard negAtiVe sAmples aware self-supervised coNtrastive leArning for Airborne laser scanning point clouds semantic segmentation—0
DArch: Dental Arch Prior-assisted 3D Tooth Instance Segmentation—0
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation—0
Automatic Animation of Hair Blowing in Still Portrait Photos—0
Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss—0
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation—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
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation 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