Unlike traditional CNNs that require a fixed-size input, SPPnets can process images of any size and aspect ratio, providing a more flexible framework for object recognition tasks. It uses a spatial pyramid pooling layer to eliminate the fixed-size constraint by allowing pooling in arbitrary scales and locations.