3 papers
cs.CV2025
Deep Feedback Models
David Calhas, Arlindo L. Oliveira
Deep Feedback Models (DFMs) are a new class of stateful neural networks that combine bottom up input with high level representations over time. This feedback mechanism introduces d…
cs.CV2025
Deep Recurrence for Dynamical Segmentation Models
David Calhas, Arlindo L. Oliveira
While biological vision systems rely heavily on feedback connections to iteratively refine perception, most artificial neural networks remain purely feedforward, processing input i…
cs.CV2024
The Role of Recurrency in Image Segmentation for Noisy and Limited Sample Settings
David Calhas, João Marques, Arlindo L. Oliveira
The biological brain has inspired multiple advances in machine learning. However, most state-of-the-art models in computer vision do not operate like the human brain, simply becaus…