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Semantic Segmentation

Papers

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Showing 5151–5200 of 14763 papers

TitleStatusHype
Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net—0
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation—0
DCELANM-Net:Medical Image Segmentation based on Dual Channel Efficient Layer Aggregation Network with Learner—0
DCANet: Differential Convolution Attention Network for RGB-D Semantic Segmentation—0
DCANet: Dense Context-Aware Network for Semantic Segmentation—0
3D Randomized Connection Network with Graph-based Label Inference—0
Hadamard Layer to Improve Semantic Segmentation—0
DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation—0
DBCal: Density Based Calibration of classifier predictions for uncertainty quantification—0
HaarNet: Large-scale Linear-Morphological Hybrid Network for RGB-D Semantic Segmentation—0
Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation—0
DAVOS: Semi-Supervised Video Object Segmentation via Adversarial Domain Adaptation—0
A level set representation method for N-dimensional convex shape and applications—0
DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images—0
Automatic Image Pixel Clustering based on Mussels Wandering Optimiz—0
ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving—0
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks—0
HAISTA-NET: Human Assisted Instance Segmentation Through Attention—0
Automatic Image Labelling at Pixel Level—0
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks—0
Data variation-aware medical image segmentation—0
Automatic Image Co-Segmentation: A Survey—0
3D-QueryIS: A Query-based Framework for 3D Instance Segmentation—0
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?—0
Automatic Image Annotation for Mapped Features Detection—0
Dataset for flood area recognition with semantic segmentation—0
Automatic Head Overcoat Thickness Measure with NASNet-Large-Decoder Net—0
ALBERT: Advanced Localization and Bidirectional Encoder Representations from Transformers for Automotive Damage Evaluation—0
Dataset Augmentation with Synthetic Images Improves Semantic Segmentation—0
1st Place Solution for MOSE Track in CVPR 2024 PVUW Workshop: Complex Video Object Segmentation—0
Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision—0
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model—0
Data Quality Aware Approaches for Addressing Model Drift of Semantic Segmentation Models—0
Data privacy protection in microscopic image analysis for material data mining—0
Automatic Foreground Extraction from Imperfect Backgrounds using Multi-Agent Consensus Equilibrium—0
H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement—0
The Hessigheim 3D (H3D) Benchmark on Semantic Segmentation of High-Resolution 3D Point Clouds and Textured Meshes from UAV LiDAR and Multi-View-Stereo—0
Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation—0
HD-EPIC: A Highly-Detailed Egocentric Video Dataset—0
Hierarchical Higher-Order Regression Forest Fields: An Application to 3D Indoor Scene Labelling—0
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning—0
Automatic Estimation of Live Coffee Leaf Infection based on Image Processing Techniques—0
3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images—0
Automatic Error Detection in Integrated Circuits Image Segmentation: A Data-driven Approach—0
Guided Perturbations: Self-Corrective Behavior in Convolutional Neural Networks—0
Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation—0
3rd Place Scheme on Instance Segmentation Track of ICCV 2021 VIPriors Challenges—0
Automatic Drywall Analysis for Progress Tracking and Quality Control in Construction—0
Data-driven Verification of DNNs for Object Recognition—0
Automatic Discovery and Assessment of Interpretable Systematic Errors in 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