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Vehicle Detection via Coupled R-CNN by Akshay Kagwade is a document available to read on EtoBox.

What is Vehicle Detection via Coupled R-CNN about?

This document proposes a coupled region-based convolutional neural network (R-CNN) approach to detect vehicles in aerial images. It first uses a vehicle proposal network (VPN) to generate candidate vehicle regions using feature maps from different convolutional layers. It then uses a vehicle classification network (VCN) to classify the candidate regions into eight direction categories. This approach improves on previous methods by using deep learning features instead of handcrafted features, reducing comput

Author

Akshay Kagwade

Language

EN