# Principles and Application Differences Between CNN and Transformer in Machine Vision

- Source: 深蓝AI · 微信公众号
- Published: 2026-10-17T01:48:00.000Z
- RoboHot: https://robohot.news/en/items/xmauthkvysn5a2op7k1lg1vua
- Original: https://mp.weixin.qq.com/s?__biz=MzY4NjA5NTgyMQ==&mid=2247605866&idx=1&sn=916fdcce1af5e9abb96b5fccee87d0ce&chksm=f2bf49ee0fc0f54cdd4102e755188fd30619debb75584334434172fc60732ef9872746311adc&scene=126&sessionid=1792244175#rd

## Summary

In machine vision, CNNs and Transformers divide work according to real-time performance and complexity: CNNs handle lane recognition, close-range obstacle detection, traffic sign classification, and workpiece positioning and defect detection for industrial robots, while Transformers handle bird's-eye-view scene reconstruction, multi-sensor fusion, trajectory prediction, and drivable-area segmentation.