Article

Principles and Application Differences Between CNN and Transformer in Machine Vision

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.

Part of the event: Division of Labor Between CNN and Transformer in Machine Vision

This page provides a summary and source link only.