Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks
Yuyan Zhang, Derya Soydaner, Fatemeh Behrad, Lisa Koßmann, Johan P. Wagemans · 2024
Deep neural networks perform well in object recognition, but do they perceive objects like humans?This study investigates the Gestalt principle of closure in convolutional neural networks.We propose a protocol to identify closure and conduct experiments using simple visual stimuli with progressively removed edge sections.We evaluate well-known networks on their ability to classify incomplete polygons.Our findings reveal a performance degradation as the edge removal percentage increases, indicating that current models heavily rely on complete edge information for accurate classification.The data used in our study is available on Github.* This work was