Need some guidance in implementing semi-supervised learning for Video Summarization

I'm new to deep learning and I wish to implement a semi-supervised algorithm for video summarization. I am using the Lamem dataset and I have frames from the video along with the importance score of each frame as the ground truth.

What semi-supervised algorithm should I use? It should take the frames as input and then predict the importance scores using a test dataset.

As a newbie to this field can anyone guide me on what procedure to follow? Maybe if an already existing similar implementation is present? (I couldn't find any)