Designing CNN Networks: NAS vs Handcraft

Designing CNN Networks: NAS vs Handcraft

Click the blue text above to follow us! When training a Convolutional Neural Network (CNN), it is common to first select a well-known backbone (such as ResNet-50) and then adjust the architecture to balance performance and efficiency based on requirements. Often, this adjustment concept relies heavily on experience, which needs to be cultivated through extensive … Read more

Significantly Improve Image Recognition Network Efficiency: Facebook’s IdleBlock Hybrid Composition Method

Significantly Improve Image Recognition Network Efficiency: Facebook's IdleBlock Hybrid Composition Method

Selected from arXiv Authors:Bing Xu, Andrew Tulloch, Yunpeng Chen, Xiaomeng Yang, Lin Qiao Compiled by Machine Heart Recently, Facebook AI proposed a new convolutional module called IdleBlock and a Hybrid Composition (HC) method using this module. Experiments show that this simple new method not only significantly improves network efficiency but also surpasses most neural architecture … Read more