Vision Transformers, or ViTs, are a groundbreaking learning model designed for tasks in computer vision, particularly image recognition. Unlike CNNs, which use convolutions for image processing, ViTs ...

Here’s how: prior to the transformer, what you had was essentially a set of weighted inputs. You had LSTMs (long short term memory networks) to enhance backpropagation – but there were still some ...

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Is that a dog in the middle of the street? Or an empty box? If you’re riding in a self-driving car, you’ll want the object detection and collision avoidance systems to correctly identify what might be ...