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Code for paper entitled "Improving Novelty Detection using the Reconstructions of Nearest Neighbours"

Home Page: https://arxiv.org/abs/2111.06150

License: MIT License

Python 97.81% Shell 2.19%
anomaly-detection machine-learning deep-learning novelty-detection

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nln's Issues

Models failing to converge

Description

A number of models are failing to converge, this issue documents this problem.

AE

  • zipper

VAE

  • wood
  • zipper

AAE

  • wood
  • zipper

AE-con

  • carpet
  • cable
  • pill
  • screw
  • tile
  • toothbrush
  • wood
  • zipper

AE-res

  • capsule (working version on gpu-01)
  • hazelnut
  • leather
  • toothbrush
  • wood
  • zipper

Refactor Code

General

Issue documenting post submission code refactoring.

  • Merge branches on gpu-01 and gpu-02
  • Join together mvtec_metrics and nln_metrics so that the nearest neighbour search isn't done twice
    • Left separate as its easier to follow
  • Add /reporting/segmentation.py to be automatically generated after training model
  • Add /reporting/residuals.py to be automatically generated after training model
  • Remove unused architectures from /architecture
  • neval.py needs to be integrated into training pipeline for mvtec data
  • Make cmd argument for MVTec data directory path

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