What is the weakness of ResNet?

Could you elaborate on the potential drawbacks or limitations of the ResNet architecture in the realm of deep learning and neural networks? Specifically, are there any scenarios where ResNet might struggle to achieve optimal performance or face challenges that other network architectures might handle more effectively? It would be insightful to understand the weaknesses that researchers and practitioners should be aware of when utilizing ResNet for various applications.