APA (7th ed.) Citation

Chamas, R., Khalfaoui-Hassani, I., & Masquelier, T. (2024). Dilated Convolution with Learnable Spacings makes visual models more aligned with humans: A Grad-CAM study.

Chicago Style (17th ed.) Citation

Chamas, Rabih, Ismail Khalfaoui-Hassani, and Timothee Masquelier. Dilated Convolution with Learnable Spacings Makes Visual Models More Aligned with Humans: A Grad-CAM Study. 2024.

MLA (9th ed.) Citation

Chamas, Rabih, et al. Dilated Convolution with Learnable Spacings Makes Visual Models More Aligned with Humans: A Grad-CAM Study. 2024.