You will be shown an excerpt from a computer science scientific research paper, followed by a question about the paper. Please answer the question. Do not include any text in your response other than the answer.

Context: Thus, we place more blocks to stages with larger width in the supernet, making the cumulative depth up to a specific stage is proportional to the width of the stage, which is similar to PyramidNet (Han et al., 2017). A recent study (Radosavovic et al., 2020) also claims that neural architectures with a linear relationship between the cumulative depth and the width tend to have higher accuracy with a similar amount of computation complexity. Our experiment shows that our modification to supernet enhances the efficiency of the search result in terms of accuracy as well as latency (Table 4).

Question: Why does author experiment the quantized linear supernet design even though Radosavovic et al. already provided similar result?
The previous study shows the linear design is beneficial in terms of computational complexity, while the author shows the result in terms of latency.