A hands-on comparison between the two shows how the latest image models differ on price, speed, and creative control.

Abstract: The success of deep learning models in image classification tasks is usually premised on the consistent data distribution of the test set and the training set. In real-world scenarios, ...

Abstract: Existing time-series forecasting methods often struggle to adapt to dynamic scenarios and lack flexibility in prediction. They typically require retraining the model when the prediction ...