Reference health
Automatic Location and Recognition of Horse Freezing Brand Using Rotational Yolov5 Deep Learning Network
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.
16 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
resolves10.1016/j.compag.2021.106650
C3D-ConvLSTM based cow behaviour classification using video data for precision livestock farming
resolves10.1016/j.compag.2016.03.014
From classical methods to animal biometrics: A review on cattle identification and tracking
resolves10.1016/j.compag.2022.107087
A deep learning method for oriented and small wheat spike detection (OSWSDet) in UAV images
resolves10.1109/TPAMI.2016.2646371
An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition
resolves10.3390/act10080170
Recognition Method of Digital Meter Readings in Substation Based on Connected Domain Analysis Algorithm
resolves10.1016/j.aiia.2022.11.005
Assessing the performance of YOLOv5 algorithm for detecting volunteer cotton plants in corn fields at three different growth stages
resolves10.1007/s11119-021-09849-0
Fusion of the YOLOv4 network model and visual attention mechanism to detect low-quality young apples in a complex environment
resolves10.1016/j.aiia.2021.05.002
Plant disease detection using hybrid model based on convolutional autoencoder and convolutional neural network
The 16 references without a DOI — listed, not checked
no DOI — not checkedA systematic review of machine learning techniques for cattle identification: Datasets, methods and future directions
no DOI — not checkedTowards multi-class object detection in unconstrained remote sensing imagery
no DOI — not checkedref5
no DOI — not checkedRotated region based CNN for ship detection
no DOI — not checkedref7
no DOI — not checkedSCRDET: towards more robust detection for small, cluttered and rotated objects
no DOI — not checkedOriented reppoints for aerial object detection
no DOI — not checkedref14
no DOI — not checkedref16
no DOI — not checkedArbitrary-oriented object detection with circular smooth label
no DOI — not checkedref19
no DOI — not checkedEnhancing geometric factors in model learning and inference for object detection and instance segmentation
no DOI — not checkedCoordinate attention for efficient mobile network design
no DOI — not checkedUsing channel pruning-based YOLOv4 deep learning algorithm for the real-time and accurate detection of apple flowers in natural environments
no DOI — not checkedFocal loss for dense object detection
no DOI — not checkedFaster r-cnn: Towards real-time object detection with region proposal networks
What this badge says. CiteStamped means the CHECKABLE references of this
work were clean at the dated check: each resolved to a known work in a public registry, and none
carried a retraction notice at that time. It says nothing about the quality, findings,
or importance of the work itself, and nothing about references deposited without a DOI.
checked 2026-08-28 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record
Embed this badge
Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.
<a href="https://citestamp.com/citestamped/10.2139/ssrn.4566703"><img src="https://citestamp.com/citestamped/10.2139/ssrn.4566703/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[](https://citestamp.com/citestamped/10.2139/ssrn.4566703)