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cs.CV2025
Preserving Cross-Modal Stability for Visual Unlearning in Multimodal Scenarios
Jinghan Xu Yuyang Zhang Qixuan Cai Jiancheng Chen Keqiu Li
Visual modality is the most vulnerable to privacy leakage in real-world multimodal applications like autonomous driving with visual and radar data; Machine unlearning removes speci…
cs.CV2024
Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks
Yuyan Zhang, Derya Soydaner, Fatemeh Behrad +2
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…
cs.CV2024
Finding Closure: A Closer Look at the Gestalt Law of Closure in Convolutional Neural Networks
Yuyan Zhang, Derya Soydaner, Lisa Koßmann +2
The human brain has an inherent ability to fill in gaps to perceive figures as complete wholes, even when parts are missing or fragmented. This phenomenon is known as Closure in ps…