In this case, accurately recognizing the action requires richer contextual information from the background and surroundings.

We perform extensive experiments to confirm the effectiveness of AnyChange for zero-shot change detection.

Recently, text-to-image models have been thriving. Despite their powerful generative capacity, our research has uncovered a lack of robustness in this generation process.

Several recent works have attempted to deal with the above issues, which concentrate on the following two aspects.

To date, Transformer-based frameworks have demonstrated impressive results in single-image super-resolution (SISR).

Then, we study the performance of regression-based CI tests under misspecified inductive biases.