Reference health
An Improved Yolo-V5 Network for Defect Detection of a Boiler Inner Wall
13/13 checkable references clean · checked 2026-08-28
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
24 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 13 checked references that resolve
resolves10.1109/TVLSI.2019.2905242
A High-Throughput and Power-Efficient FPGA Implementation of YOLO CNN for Object Detection
resolves10.1109/TIM.2019.2915404
An End-to-End Steel Surface Defect Detection Approach via Fusing Multiple Hierarchical Features
resolves10.1016/j.patrec.2021.02.003
A method of cross-layer fusion multi-object detection and recognition based on improved faster R-CNN model in complex traffic environment
resolves10.1016/j.patrec.2020.04.037
A benchmark dataset for real-time detection of icons in mobile apps and a small-scale feature module
resolves10.1109/TIP.2019.2947792
Combining Faster R-CNN and Model-Driven Clustering for Elongated Object Detection
resolves10.1016/j.engappai.2021.104190
Underwater target detection based on Faster R-CNN and adversarial occlusion network
resolves10.1109/ICIP40778.2020.9191303
Circular Shift: An Effective Data Augmentation Method For Convolutional Neural Network On Image Classification
resolves10.1109/TCSVT.2019.2935128
Data Augmentation Using Random Image Cropping and Patching for Deep CNNs
resolves10.1016/j.artint.2021.103652
Imperfect ImaGANation: Implications of GANs exacerbating biases on facial data augmentation and snapchat face lenses
resolves10.1109/ISR50024.2021.9419561
Improved YOLOv5 Network Model and Application in Safety Helmet Detection
The 24 references without a DOI — listed, not checked
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no DOI — not checkedSurvey of convolutional neural network
no DOI — not checkedref6
no DOI — not checkedRich feature hierarchies for accurate object detection and semantic segmentation
no DOI — not checkedref10
no DOI — not checkedFaster r-cnn: Towards real-time object detection with region proposal networks
no DOI — not checkedYou only look once: Unified, real-time object detection
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no DOI — not checkedref19
no DOI — not checkedDevelopment of a YOLO-V3-based model for detecting defects on steel strip surface
no DOI — not checkedref22
no DOI — not checkedref24
no DOI — not checkedSimple copy-paste is a strong data augmentation method for instance segmentation
no DOI — not checkedref26
no DOI — not checkedref29
no DOI — not checkedref33
no DOI — not checkedSqueeze-and
no DOI — not checkedref37
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