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Semantic Segmentation

Papers

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Showing 5301–5350 of 14763 papers

TitleStatusHype
High-Definition Map Generation Technologies For Autonomous Driving—0
Higher-order Segmentation via Multicuts—0
High Quality Segmentation for Ultra High-resolution Images—0
High-resolution semantically-consistent image-to-image translation—0
D2-MLP: Dynamic Decomposed MLP Mixer for Medical Image Segmentation—0
Automated Segmentation and Analysis of Microscopy Images of Laser Powder Bed Fusion Melt Tracks—0
Automated Road Extraction from Satellite Imagery Integrating Dense Depthwise Dilated Separable Spatial Pyramid Pooling with DeepLabV3+—0
HierVL: Semi-Supervised Segmentation leveraging Hierarchical Vision-Language Synergy with Dynamic Text-Spatial Query Alignment—0
CzechLynx: A Dataset for Individual Identification and Pose Estimation of the Eurasian Lynx—0
Automated risk classification of colon biopsies based on semantic segmentation of histopathology images—0
Cylindrical Transform: 3D Semantic Segmentation of Kidneys With Limited Annotated Images—0
Automated Resolution Selection for Image Segmentation—0
Acquire, Augment, Segment & Enjoy: Weakly Supervised Instance Segmentation of Supermarket Products—0
Hierarchical Uncertainty Estimation for Medical Image Segmentation Networks—0
HiFiSeg: High-Frequency Information Enhanced Polyp Segmentation with Global-Local Vision Transformer—0
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study—0
Automated Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy from DWI Data—0
Hierarchical Spatiotemporal Transformers for Video Object Segmentation—0
CycleSAM: One-Shot Surgical Scene Segmentation using Cycle-Consistent Feature Matching to Prompt SAM—0
Automated Plaque Detection and Agatston Score Estimation on Non-Contrast CT Scans: A Multicenter Study—0
Automated Pavement Crack Segmentation Using U-Net-based Convolutional Neural Network—0
Hierarchical Summarization for Longform Spoken Dialog—0
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation—0
Automated National Urban Map Extraction—0
CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images—0
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends—0
Hierarchical semantic segmentation using modular convolutional neural networks—0
Automated Multiclass Cardiac Volume Segmentation and Model Generation—0
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation—0
A Convolutional Neural Network for Point Cloud Instance Segmentation in Cluttered Scene Trained by Synthetic Data Without Color—0
Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework—0
Hierarchical Semantic Segmentation using Psychometric Learning—0
Automated MRI Tumor Segmentation using hybrid U-Net with Transformer and Efficient Attention—0
Cutting-Splicing data augmentation: A novel technology for medical image segmentation—0
Airway Tree Modeling Using Dual-channel 3D UNet 3+ with Vesselness Prior—0
Automated Mobile Attention KPConv Networks via a Wide and Deep Predictor—0
AirRoom: Objects Matter in Room Reidentification—0
CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation—0
Cut out the annotator, keep the cutout: better segmentation with weak supervision—0
Automated Measurements of Key Morphological Features of Human Embryos for IVF—0
Cut, Glue & Cut: A Fast, Approximate Solver for Multicut Partitioning—0
Automated lung segmentation from CT images of normal and COVID-19 pneumonia patients—0
Hierarchical Side-Tuning for Vision Transformers—0
High Accuracy Pulmonary Vessel Segmentation for Contrast and Non-contrast CT Images and Clinical Evaluation—0
Automated Log-Scale Quantization for Low-Cost Deep Neural Networks—0
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers—0
CUSUM Filter for Brain Segmentation on DSC Perfusion MR Head Scans with Abnormal Brain Anatomy—0
Task-Specific Adaptation of Segmentation Foundation Model via Prompt Learning—0
Automated Linear Disturbance Mapping via Semantic Segmentation of Sentinel-2 Imagery—0
3D Object Segmentation for Shelf Bin Picking by Humanoid with Deep Learning and Occupancy Voxel Grid Map—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