Reference health
Enhancing Campus Surveillance Using Temporal Self Attention
14/14 checkable references clean · checked 2026-09-10
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.
20 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 14 checked references that resolve
resolves10.1109/LSP.2020.3025688
A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels
resolves10.3390/app12031021
A CNN-RNN Combined Structure for Real-World Violence Detection in Surveillance Cameras
resolves10.1016/j.jvcir.2022.103598
A3N: Attention-based adversarial autoencoder network for detecting anomalies in video sequence
resolves10.1016/j.jvcir.2019.02.035
Generalization of feature embeddings transferred from different video anomaly detection domains
resolves10.1007/978-3-030-58577-8_20
Not only Look, But Also Listen: Learning Multimodal Violence Detection Under Weak Supervision
resolves10.1109/ACCESS.2022.3224952
Real-World Video Anomaly Detection by Extracting Salient Features in Videos
resolves10.1609/aaai.v36i2.20028
Self-Training Multi-Sequence Learning with Transformer for Weakly Supervised Video Anomaly Detection
resolves10.1109/TNNLS.2021.3083152
Robust Unsupervised Video Anomaly Detection by Multipath Frame Prediction
The 20 references without a DOI — listed, not checked
no DOI — not checkedReal-world anomaly detection in surveillance videos
no DOI — not checkedSingle-image crowd counting via multi-column convolutional neural network
no DOI — not checkedref3
no DOI — not checkedVideo Anomaly Detection Using Self-Attention-Enabled Convolutional Spatiotemporal Autoencoder
no DOI — not checkedClip-tsa: Clip-assisted temporal self-attention for weakly-supervised video anomaly detection
no DOI — not checkedDeep learning-based anomaly detection in real-time video
no DOI — not checkedref10
no DOI — not checkedA Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection
no DOI — not checkedHuman Crime Based Intrusion Detection by Semantic Features Using LSTM with Inception Deep Learning Approach
no DOI — not checkedref15
no DOI — not checkedUnsupervised video anomaly detection with selfattention based feature aggregating
no DOI — not checkedScale-aware spatio-temporal relation learning for video anomaly detection
no DOI — not checkedClaws: clustering assisted weakly supervised learning with normalcy suppression for anomalous event detection
no DOI — not checkedDeep anomaly detection using geometric transformations
no DOI — not checkedWeakly-supervised video anomaly detection with robust temporal feature magnitude learning
no DOI — not checkedReal-time weakly supervised video anomaly detection
no DOI — not checkedSelf-supervised sparse representation for video anomaly detection
no DOI — not checkedGenerative cooperative learning for unsupervised video anomaly detection
no DOI — not checkedLearning spatiotemporal features with 3d convolutional networks
no DOI — not checkedQuo vadis, action recognition? a new model and the kinetics dataset
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 2026-09-10 — 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.5083118"><img src="https://citestamp.com/citestamped/10.2139/ssrn.5083118/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[](https://citestamp.com/citestamped/10.2139/ssrn.5083118)