High Performing Network

High-performing network design focuses on creating efficient and accurate models, particularly for complex tasks like computer vision and autonomous driving. Current research emphasizes improving network architectures through novel designs and the development of more effective training-free network architecture search methods that leverage multiple zero-cost proxies to predict network performance. A key challenge lies in reliably evaluating these networks, particularly in safety-critical applications, necessitating the development of robust evaluation frameworks and standardized metrics. These advancements are crucial for improving the accuracy and efficiency of various applications, ranging from image processing to network traffic prediction.