DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning

Research output

Research output per year 2022 2022 2023 2023

• 5 Citations
• 2 Conference contribution
• 1 Preprint

Research output per year

Research output per year

Search results

• 2023

  DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning

  Wang, S., Brune, C., Veldhuis, R. & Strisciuglio, N., 12 Aug 2023, ArXiv.org, 10 p.

  Research output: Working paper › Preprint › Academic

  Open Access

  File

  • Classification Models 100%
  • Neural Network 100%
  • Image Classification 100%
  • Adversarial Machine Learning 100%
  • Data Augmentation 100%

  96 Downloads (Pure)

• What do neural networks learn in image classification? A frequency shortcut perspective

  Wang, S., Veldhuis, R., Brune, C. & Strisciuglio, N., 6 Oct 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV). Piscataway, NJ: IEEE, p. 1433-1442 10 p. 10378114. (Proceedings IEEE/CVF International Conference on Computer Vision (ICCV); vol. 2023).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access

  File

  • Neural Network 100%
  • Image Classification 100%
  • Frequency Analysis 100%
  • Data Augmentation 100%
  • Representation Learning 25%

  52   Link opens in a new tab Citations (Scopus)

  356 Downloads (Pure)

• 2022

  Frequency Shortcut Learning in Neural Networks

  Wang, S., Veldhuis, R., Brune, C. & Strisciuglio, N., 2022, NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and Applications. 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access

  File

  • Neural Network 100%
  • Semantic Feature 33%
  • Intrinsic Property 33%
  • Frequency Domain 33%
  • Deep Learning Method 33%

  210 Downloads (Pure)