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Semantic Segmentation

Papers

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Showing 13001–13050 of 14763 papers

TitleStatusHype
DAG-Recurrent Neural Networks For Scene Labeling—0
DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation—0
Few-shot 1/a Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance—0
Dam Burst: A region-merging-based image segmentation method—0
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference—0
DANet: Density Adaptive Convolutional Network with Interactive Attention for 3D Point Clouds—0
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation—0
DArch: Dental Arch Prior-assisted 3D Tooth Instance Segmentation—0
DArch: Dental Arch Prior-Assisted 3D Tooth Instance Segmentation With Weak Annotations—0
Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime—0
Dark Spot Detection from SAR Images Based on Superpixel Deeper Graph Convolutional Network—0
DARNet: Deep Active Ray Network for Building Segmentation—0
Darwin's Neural Network: AI-based Strategies for Rapid and Scalable Cell and Coronavirus Screening—0
DaSeGAN: Domain Adaptation for Segmentation Tasks via Generative Adversarial Networks—0
DASNet: Reducing Pixel-level Annotations for Instance and Semantic Segmentation—0
Data Adaptive Few-shot Multi Label Segmentation with Foundation Model—0
Data Augmentation for Leaf Segmentation and Counting Tasks in Rosette Plants—0
Cross-Task Data Augmentation by Pseudo-label Generation for Region Based Coronary Artery Instance Segmentation—0
Data Augmentation using Feature Generation for Volumetric Medical Images—0
Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation—0
Data-Centric Learning Framework for Real-Time Detection of Aiming Beam in Fluorescence Lifetime Imaging Guided Surgery—0
Data-Driven Deep Supervision for Medical Image Segmentation—0
Data-driven Detection and Evaluation of Damages in Concrete Structures: Using Deep Learning and Computer Vision—0
Photoacoustic image synthesis with generative adversarial networks—0
Data-Driven Scene Understanding with Adaptively Retrieved Exemplars—0
Data-Driven Segmentation of Post-mortem Iris Images—0
Data-driven Verification of DNNs for Object Recognition—0
3rd Place Scheme on Instance Segmentation Track of ICCV 2021 VIPriors Challenges—0
Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation—0
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning—0
Data privacy protection in microscopic image analysis for material data mining—0
Data Quality Aware Approaches for Addressing Model Drift of Semantic Segmentation Models—0
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model—0
Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision—0
Dataset Augmentation with Synthetic Images Improves Semantic Segmentation—0
Dataset for flood area recognition with semantic segmentation—0
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?—0
Data variation-aware medical image segmentation—0
DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images—0
DAVOS: Semi-Supervised Video Object Segmentation via Adversarial Domain Adaptation—0
Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation—0
DBCal: Density Based Calibration of classifier predictions for uncertainty quantification—0
DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation—0
DCANet: Dense Context-Aware Network for Semantic Segmentation—0
DCANet: Differential Convolution Attention Network for RGB-D Semantic Segmentation—0
DCELANM-Net:Medical Image Segmentation based on Dual Channel Efficient Layer Aggregation Network with Learner—0
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation—0
DCP-Net: A Distributed Collaborative Perception Network for Remote Sensing Semantic Segmentation—0
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation—0
DDF: A Novel Dual-Domain Image Fusion Strategy for Remote Sensing Image Semantic Segmentation with Unsupervised Domain Adaptation—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