Efficient Pruning of Detection Transformer in Remote Sensing Using Ant Colony Evolutionary Pruning

Efficient Pruning of Detection Transformer in Remote Sensing Using Ant Colony Evolutionary Pruning

This study mainly addresses the issues of an excessive model parameter count and computational complexity in Detection Transformer (DETR) for remote sensing object detection and similar neural networks. We propose an innovative neural network pruning method called “ant colony evolutionary pruning (A...

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Bibliographic Details
Main Authors: Hailin Su, Haijiang Sun, Yongxian Zhao
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
structured pruning
detection transformer
remote sensing
object detection
deep convolutional neural network
transformer
Online Access:https://www.mdpi.com/2076-3417/15/1/200
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