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Learning Discriminative Representations for Multi-Label Image Recognition
Multi-label recognition is a fundamental, and yet is a challenging task in computer vision.
Mitigating the Impact of Adversarial Attacks in Very Deep Networks
In it, a Defensive Feature Layer (DFL) is integrated with a well-known DNN architecture which assists in neutralizing the effects of illegitimate perturbation samples in the feature space.
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models
Several research studies have been conducted to address this issue and build more robust deep learning models.
Visual Affordance and Function Understanding: A Survey
Nowadays, robots are dominating the manufacturing, entertainment and healthcare industries.
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