Home › Entities › academia › Video Anomaly Detection using Pre-Trained Deep Convolutional Neural Nets and Context Mining

Video Anomaly Detection using Pre-Trained Deep Convolutional Neural Nets and Context Mining

Research article (2020 IEEE/ACS 17th International Conference on Computer Systems and Applications (AICCSA), 2020) · cited 34× · AI/ML
academia openalex:W3126294508
Press Enter · cited answer in seconds

Video Anomaly Detection using Pre-Trained Deep Convolutional Neural Nets and Context Mining

Summary

Video Anomaly Detection using Pre-Trained Deep Convolutional Neural Nets and Context Mining is a scholarly article[1].

Key Facts

  • Video Anomaly Detection using Pre-Trained Deep Convolutional Neural Nets and Context Mining's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Video Anomaly Detection using Pre-Trained Deep Convolutional Neural Nets and Context Mining. Retrieved May 24, 2026, from https://4ort.xyz/entity/video-anomaly-detection-using-pre-trained-deep-convolutional-neural-nets-and-context-mining
MLA “Video Anomaly Detection using Pre-Trained Deep Convolutional Neural Nets and Context Mining.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/video-anomaly-detection-using-pre-trained-deep-convolutional-neural-nets-and-context-mining.
BibTeX @misc{4ortxyz_video-anomaly-detection-using-pre-trained-deep-convolutional-neural-nets-and-context-mining_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Video Anomaly Detection using Pre-Trained Deep Convolutional Neural Nets and Context Mining}}, year = {2026}, url = {https://4ort.xyz/entity/video-anomaly-detection-using-pre-trained-deep-convolutional-neural-nets-and-context-mining}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Video Anomaly Detection using Pre-Trained Deep Convolutional Neural Nets and Context Mining — https://4ort.xyz/entity/video-anomaly-detection-using-pre-trained-deep-convolutional-neural-nets-and-context-mining (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/video-anomaly-detection-using-pre-trained-deep-convolutional-neural-nets-and-context-mining · Last refreshed: