1. Introduction to this article
The improved mechanism brought to you in this article is the FasterNet network, which is used to replace our feature extraction network. It is designed to increase calculation speed without sacrificing accuracy , especially in vision tasks. It reduces redundant computations and memory accesses through a new technology called Partial Convolution (PConv) . This approach allows FasterNet to run much faster than other networks on a variety of devices while maintaining high accuracy across a variety of vision tasks. After my experiments, the backbone network can indeed improve the detection of three types of objects: large, medium and small. At the same time, the backbone network also provides multiple versions . You can use modified versions in the source code. This article introduces its main framework principles and then teaches you how to add the network structure to the network model.
Recommendation index: ⭐⭐⭐⭐⭐
Point increase effect: ⭐⭐⭐⭐⭐
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