Archives for Computer vision models

13 Jan

How Is Neuroscience Helping CNNs Perform Better?

image-19160
image-19160

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.

13 Jan

How Is Neuroscience Helping CNNs Perform Better?

image-19161
image-19161

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.

13 Jan

How Is Neuroscience Helping CNNs Perform Better?

image-19164
image-19164

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.

06 Jan

Tech Behind Facebook AI’s Latest Technique To Train Computer Vision Models

image-19026
image-19026

While image classification sounds like a simple process to human ears, it can be a daunting task for machines. Thus, purely based on attention, neural networks have dramatically improved image understanding tasks; however, these visual transformers have typically been pre-trained with massive sets of images using expensive infrastructures. This, in turn, restrains a larger part…

The post Tech Behind Facebook AI’s Latest Technique To Train Computer Vision Models appeared first on Analytics India Magazine.

05 Feb

What Are Adversarial Patches & Why Should We Worry

image-9861
image-9861

An adversarial patch is a technique that has been devised to fool the machine learning models. These patches can be a physical obstruction in the captured photos or random photos using algorithms.  Computer vision models are trained on photos that are usually straightforward. There can be different orientations or even different resolutions in the training…

The post What Are Adversarial Patches & Why Should We Worry appeared first on Analytics India Magazine.