🔬 Excited to present our latest research at the #MAIN2025 conference today!
🔗 https://laurentperrinet.github.io/talk/2025-12-12-main/

👁️ What if CNNs could see like humans? Our new work shows how foveated vision—concentrating processing at gaze center—makes networks more robust to perturbations & great at localization. Inspired by human vision's architecture (high-resolution foveal center, low-resolution periphery), we embedded this retinotopic transformation into CNN architectures, allowing to actively scan the image. This gives literally a new look to #ConvNets !

📄 Paper: "Foveated Retinotopy Improves Classification and Localization in CNNs"
🔗 https://laurentperrinet.github.io/publication/jeremie-25/

#DeepLearning #ComputerVision #AI #Research #NeuralNetworks #NeuroAI #OpenScience I love #Montreal