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Comparative Evaluation of Yolo and Rt-Detr Models for Real-Time Defect Detection in Wood-Based 3d Printing
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Outgoing claims: the papers this work cites, builds on, or argues with.
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3D Printed Electronic Skin for Strain, Pressure and Temperature Sensing
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3D‐Printing of Lightweight Cellular Composites
inferredcites →https://doi.org/10.1007/s10462-020-09876-9openalex-snapshot
A review on machine learning in 3D printing: applications, potential, and challenges
inferredcites →https://doi.org/10.1007/s41918-022-00174-2openalex-snapshot
Progress in 3D-MXene Electrodes for Lithium/Sodium/Potassium/Magnesium/Zinc/Aluminum-Ion Batteries
inferredcites →https://doi.org/10.1016/j.addma.2016.08.001openalex-snapshot
In situ surface topography of laser powder bed fusion using fringe projection
inferredcites →https://doi.org/10.1016/j.addma.2020.101453openalex-snapshot
Layer-wise anomaly detection and classification for powder bed additive manufacturing processes: A machine-agnostic algorithm for real-time pixel-wise semantic segmentation
inferredcites →https://doi.org/10.1016/j.addma.2023.103441openalex-snapshot
Research progress of the defects and innovations of ceramic vat photopolymerization
inferredcites →https://doi.org/10.1016/j.aei.2023.102007openalex-snapshot
DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism
inferredcites →https://doi.org/10.1016/j.aiia.2024.02.001openalex-snapshot
Using an improved lightweight YOLOv8 model for real-time detection of multi-stage apple fruit in complex orchard environments
inferredcites →https://doi.org/10.1016/j.autcon.2024.105925openalex-snapshot
Real-time and high-accuracy defect monitoring for 3D concrete printing using transformer networks
inferredcites →https://doi.org/10.1016/j.compag.2019.01.012openalex-snapshot
Apple detection during different growth stages in orchards using the improved YOLO-V3 model
inferredcites →https://doi.org/10.1016/j.compag.2019.04.017openalex-snapshot
Deep learning – Method overview and review of use for fruit detection and yield estimation
inferredcites →https://doi.org/10.1016/j.compag.2021.106135openalex-snapshot
Real-time detection of uneaten feed pellets in underwater images for aquaculture using an improved YOLO-V4 network
inferredcites →https://doi.org/10.1016/j.compag.2023.107757openalex-snapshot
Detection of tomato plant phenotyping traits using YOLOv5-based single stage detectors
inferredcites →https://doi.org/10.1016/j.compag.2024.109524openalex-snapshot
Tomato fruit detection and phenotype calculation method based on the improved RTDETR model
inferredcites →https://doi.org/10.1016/j.compag.2024.109575openalex-snapshot
EVIT-YOLOv8: Construction and research on African Swine Fever facial expression recognition
inferredcites →https://doi.org/10.1016/j.conbuildmat.2024.135025openalex-snapshot
A novel YOLOv8-GAM-Wise-IoU model for automated detection of bridge surface cracks
inferredcites →https://doi.org/10.1016/j.eja.2023.127076openalex-snapshot
A corn canopy organs detection method based on improved DBi-YOLOv8 network
inferredcites →https://doi.org/10.1016/j.engappai.2024.107866openalex-snapshot
Improved YOLOv8-GD deep learning model for defect detection in electroluminescence images of solar photovoltaic modules
inferredcites →https://doi.org/10.1016/j.ijmachtools.2023.104047openalex-snapshot
Recent progress on the additive manufacturing of aluminum alloys and aluminum matrix composites: Microstructure, properties, and applications
inferredcites →https://doi.org/10.1016/j.isprsjprs.2022.01.007openalex-snapshot
PlantNet: A dual-function point cloud segmentation network for multiple plant species
inferredcites →https://doi.org/10.1016/j.matdes.2023.111661openalex-snapshot
Multi-material additive manufacturing: A systematic review of design, properties, applications, challenges, and 3D printing of materials and cellular metamaterials
inferredcites →https://doi.org/10.1016/j.measurement.2024.116518openalex-snapshot
SDS-YOLO: An improved vibratory position detection algorithm based on YOLOv11
inferredcites →https://doi.org/10.1016/j.rse.2018.11.032openalex-snapshot
Deep learning based multi-temporal crop classification
inferredcites →https://doi.org/10.1021/acsnano.3c01241openalex-snapshot
Inspired by Wood: Thick Electrodes for Supercapacitors
inferredcites →https://doi.org/10.1038/s41563-023-01569-2openalex-snapshot
3D printable high-performance conducting polymer hydrogel for all-hydrogel bioelectronic interfaces
inferredcites →https://doi.org/10.1109/iciscae62304.2024.10761862openalex-snapshot
Research on Gesture Recognition Optimization Based on YOLOv8 and Efficient Vision Transformer Network
inferredcites →https://doi.org/10.1109/tcyb.2021.3095305openalex-snapshot
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation
inferredcites →https://doi.org/10.1109/tcyb.2024.3365068openalex-snapshot
Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network
inferredcites →https://doi.org/10.1109/tip.2023.3297408openalex-snapshot
Centralized Feature Pyramid for Object Detection
inferredcites →https://doi.org/10.1109/tmi.2023.3290149openalex-snapshot
Unsupervised Medical Image Translation With Adversarial Diffusion Models
inferredcites →https://doi.org/10.1109/tpami.2016.2537340openalex-snapshot
Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition
inferredcites →https://doi.org/10.1109/tpami.2019.2916873openalex-snapshot
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
inferredcites →https://doi.org/10.1126/science.aat8084openalex-snapshot
All-optical machine learning using diffractive deep neural networks
inferredcites →https://doi.org/10.1145/3524497openalex-snapshot
Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective
inferredcites →https://doi.org/10.1145/3603618openalex-snapshot
Deep Learning-based Human Pose Estimation: A Survey
inferredcites →https://doi.org/10.3390/rs16244617openalex-snapshot
A Comparative Study of Deep Learning Frameworks Applied to Coffee Plant Detection from Close-Range UAS-RGB Imagery in Costa Rica
inferredcites →https://doi.org/10.34133/plantphenomics.0030openalex-snapshot
A Tea Buds Counting Method Based on YOLOv5 and Kalman Filter Tracking Algorithm
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