Understanding Faster R-CNN for Object Detection

Faster R-CNN is important research in object detection. It inspires many other methods how we can do object detection using deep learning, such as YOLO, SSD (Single Shot Detector) and so on. This post provides video series of how Faster RCNN works. The video series is made in paper review style. Hope it helps 🙂

1. Introduction to Faster R-CNN

2. Faster R-CNN Architecture

3. How RPN (Region Proposal Networks) Works

4. How Fast R-CNN Works

5. How to Train Faster R-CNN

6. Experiments and Results of Faster R-CNN 

Advertisements

2 thoughts on “Understanding Faster R-CNN for Object Detection

  1. Hello Adrian,
    Saya Roni mahasiswa S1 jurusan informatika, saya tertarik dengan penjelasan anda mengenai paper Faster R-CNN ini, kebetulan tugas akhir saya juga berhubngan tentang deeplearning & computer vision. Dapatkah saya mendapatkan slide presentasi yang anda gunakan di video ini ? Kalau bisa tolong kirimkan ke email saya : heronimustra@gmail.com.

    Terimakasih sebelumnya, penjelasan anda sangat membantu saya untuk memahami Faster R-CNN ini.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s