code-with-papers

Repository for Paper Implementations

Environment Settings

git clone https://github.com/lsjdg/code-with-papers.git
cd code-with-papers
pip install -r requirements.txt

Sample Data

• MVTecAD
  • place it under data/img/

Implemented Papers

Comupter Vision

• Deep Residual Learning for Image Recognition
  • introduces ResNet
  • accepted to CVPR 2016

Industrial Anomaly Detection

• Towards Total Recall in Industrial Anomaly Detection
  • introduces PatchCore
  • accepted to CVPR 2022