mlsanityData to 14 Oct 2026

VAE-iForest: Auto-encoding Reconstruction and Isolation-based Anomalies Detecting Fallen Objects on Road Surface

arXiv 2203.01193 ↗First posted 2 Mar 2022cs.CVcited by 1

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Abstract (arXiv)

In road monitoring, it is an important issue to detect changes in the road surface at an early stage to prevent damage to third parties. The target of the falling object may be a fallen tree due to the external force of a flood or an earthquake, and falling rocks from a slope. Generative deep learning is possible to flexibly detect anomalies of the falling objects on the road surface. We prototype a method that combines auto-encoding reconstruction and isolation-based anomaly detector in application for road surface monitoring. Actually, we apply our method to a set of test images that fallen objects is located on the raw inputs added with fallen stone and plywood, and that snow is covered on the winter road. Finally we mention the future works for practical purpose application.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 12 of its 23 references that are in the map. First posted on arXiv 2 Mar 2022.

Builds on

12 of 23 references.

References · 12

  1. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,527
  2. 2013Auto-Encoding Variational Bayescited by 4,053
  3. 2018GANomaly: Semi-Supervised Anomaly Detection via Adversarial Trainingcited by 409
  4. 2020Anomaly Detection With Conditional Variational Autoencoderscited by 46
  5. 2019GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detectioncited by 36
  6. 2021Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Reviewcited by 15
  7. 2021Conditional Variational Autoencoder for Learned Image Reconstructioncited by 13
  8. 2019Latent space conditioning for improved classification and anomaly detectioncited by 8
  9. 2020Integration of Roadside Camera Images and Weather Data for Monitoring Winter Road Surface Conditionscited by 5
  10. 2021Road Surface Translation Under Snow-covered and Semantic Segmentation for Snow Hazard Indexcited by 3
  11. 2021Anomaly Detection for Solder Joints Using β-VAEcited by 3
  12. 2021Efficient Non-Compression Auto-Encoder for Driving Noise-based Road Surface Anomaly Detectioncited by 3

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Cited by year

Citing papers per year: 2023: 1.

1 paper.

  1. 2023One-class Damage Detector Using Deeper Fully-Convolutional Data Descriptions for Civil Applicationcited by 5