What is progressive resizing in training deep vision models?

Progressive resizing trains models on increasing image resolutions over time.

Instead of training directly on high-resolution images, progressive resizing starts with low-resolution inputs for faster convergence and gradually increases resolution. This helps models learn coarse patterns first and refine details later, improving training stability and reducing compute cost.