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Semantic Segmentation

Papers

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Showing 11351–11400 of 14763 papers

TitleStatusHype
A Comprehensive Review of U-Net and Its Variants: Advances and Applications in Medical Image Segmentation—0
A Comprehensive Review on Computer Vision Analysis of Aerial Data—0
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis—0
A Comprehensive Study of Vision Transformers on Dense Prediction Tasks—0
A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks—0
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends—0
A Comprehensive Survey of Transformers for Computer Vision—0
A Comprehensive Survey on Video Scene Parsing:Advances, Challenges, and Prospects—0
A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements—0
Computational framework for the generation of one-dimensional vascular models accounting for uncertainty in networks extracted from medical images—0
A Computation-Efficient CNN System for High-Quality Brain Tumor Segmentation—0
A Computer Vision Pipeline for Automated Determination of Cardiac Structure and Function and Detection of Disease by Two-Dimensional Echocardiography—0
A Connection between Feed-Forward Neural Networks and Probabilistic Graphical Models—0
A Contrario Selection of Optimal Partitions for Image Segmentation—0
A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation—0
A Convolutional Cost-Sensitive Crack Localization Algorithm for Automated and Reliable RC Bridge Inspection—0
A Convolutional Neural Network for Point Cloud Instance Segmentation in Cluttered Scene Trained by Synthetic Data Without Color—0
Acquire, Augment, Segment & Enjoy: Weakly Supervised Instance Segmentation of Supermarket Products—0
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation—0
A Cross-Scale Hierarchical Transformer with Correspondence-Augmented Attention for inferring Bird's-Eye-View Semantic Segmentation—0
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation—0
Activate and Reject: Towards Safe Domain Generalization under Category Shift—0
ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving—0
Active Contour Models Driven by Hyperbolic Mean Curvature Flow for Image Segmentation—0
Active Contour Models for Manifold Valued Image Segmentation—0
Active contours driven by local and global intensity fitting energy with application to SAR image segmentation and its fast solvers—0
Active Contours with Group Similarity—0
Active Domain Adaptation with Multi-level Contrastive Units for Semantic Segmentation—0
Active Image Segmentation Propagation—0
Active Label Refinement for Semantic Segmentation of Satellite Images—0
Active Learning Enabled Low-cost Cell Image Segmentation Using Bounding Box Annotation—0
Active learning for efficient annotation in precision agriculture: a use-case on crop-weed semantic segmentation—0
Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning—0
ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation—0
Active Learning Inspired ControlNet Guidance for Augmenting Semantic Segmentation Datasets—0
Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation—0
Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models—0
Active Scene Understanding via Online Semantic Reconstruction—0
Active Self-Training for Weakly Supervised 3D Scene Semantic Segmentation—0
Active Testing: An Efficient and Robust Framework for Estimating Accuracy—0
Actor-Action Semantic Segmentation with Region Masks—0
Actor-Action Semantic Segmentation with Grouping Process Models—0
Actor and Action Modular Network for Text-based Video Segmentation—0
ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training—0
AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label Correction—0
AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts—0
Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems—0
Adaptable Precomputation for Random Walker Image Segmentation and Registration—0
Adaptation Across Extreme Variations using Unlabeled Domain Bridges—0
Adaptative Inference Cost With Convolutional Neural Mixture Models—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