Archives for hybrid CNN vision models
While convolutional neural networks (CNNs) have dominated the field of object recognition, it can easily be deceived by creating a small perturbation, also known as adversarial attacks. This can lead to the failure of the computer vision models and make it susceptible to cyberattacks. CNN’s vulnerability to image perturbations has become a pressing concern for…
The post How Is Neuroscience Helping CNNs Perform Better? appeared first on Analytics India Magazine.
While convolutional neural networks (CNNs) have dominated the field of object recognition, it can easily be deceived by creating a small perturbation, also known as adversarial attacks. This can lead to the failure of the computer vision models and make it susceptible to cyberattacks. CNN’s vulnerability to image perturbations has become a pressing concern for…
The post How Is Neuroscience Helping CNNs Perform Better? appeared first on Analytics India Magazine.
While convolutional neural networks (CNNs) have dominated the field of object recognition, it can easily be deceived by creating a small perturbation, also known as adversarial attacks. This can lead to the failure of the computer vision models and make it susceptible to cyberattacks. CNN’s vulnerability to image perturbations has become a pressing concern for…
The post How Is Neuroscience Helping CNNs Perform Better? appeared first on Analytics India Magazine.