MIT neuroscientists compared the visual object recognition performance of primate brains to that of the latest deep neural networks, which try to mimic our visual system. They found that the best ...

Since the early 1980s, neuroscientists have hypothesized that the primate visual system is divided into two pathways: the ventral stream, which performs object-recognition tasks, and the dorsal ...

Two relatively independent areas of visual cognition research examine important aspects of visual object understanding: Object Recognition and Perceptual Categorization. These areas have focused ...

More specifically, the convergence of Object Recognition, Machine Vision, and Neural Networks enables machines to see and understand what it is they are seeing.

As a result, performance on visual recognition tests that use images of common objects are a complex mixture of people's visual ability and their experience with these objects.

During recognition, a single object can activate appropriate context frames, and context frames can activate representations of expected objects.

Visual One smartens up home security cameras with object and action recognition Devin Coldewey 10:03 AM PDT · March 11, 2020 ...

On the whole, people recognize objects best when they see the objects from a familiar view and worse when they see the objects from views that were previously occluded from sight. Unexpectedly, we ...

Using data from both humans and nonhuman primates, neuroscientists have found that neuron firing patterns in the IT cortex correlate strongly with success in object-recognition tasks.