Efficient Network

Efficient networks aim to minimize computational cost and resource consumption while maintaining high performance in various applications, including image segmentation, object detection, and federated learning. Current research focuses on developing novel architectures like transformers and spiking neural networks, alongside optimized algorithms such as dynamic sparse feature fusion and efficient modulation, to achieve this balance. These advancements are crucial for deploying deep learning models on resource-constrained devices and improving the efficiency of large-scale systems, impacting fields ranging from medical imaging to mobile network inference. The development of efficient networks is driving progress towards more sustainable and accessible artificial intelligence.