Neural networks don't understand what optical illusions are
By A Mystery Man Writer
Description
Human vision is an extraordinary facility. Although it evolved in specific environments over many millions of years, it is capable of tasks that early visual systems never experienced. Reading is a good example, as is identifying artificial objects such as cars, planes, road signs, and so on. But the visual system also has a well-known…
Machine-vision systems can match humans at recognizing faces and can even create realistic synthetic faces. But researchers have discovered that the same systems cannot recognize optical illusions, which means they also can’t create new ones.
Machine-vision systems can match humans at recognizing faces and can even create realistic synthetic faces. But researchers have discovered that the same systems cannot recognize optical illusions, which means they also can’t create new ones.
Move over AI: Humans are better at optical illusions. #AI
Things You Cannot Unsee (and What They Say About Your Brain) - The
Optical Illusions - Knowledia News
Peter Petocz on LinkedIn: Proud to work here 🚀
Images that fool computer vision raise security concerns
Why We Don't See the Same Reality - Core77
Attacking Neural Networks. Use the PGD attack to create optical
OPTICAL ILLUSIONS.
AI Optical Illusion - AI illusion image generator
Accurate Neural Network Computer Vision Without The 'Black Box
I Am But A Prediction
Optical illusions and why neural networks can't seem to figure
Diaspora Europe
Orientale Sarda
from
per adult (price varies by group size)
