Seed dormancy is an actively studied biological phenomenon crucial in many areas of the economy and ecology - but how does it tie with computer vision?
Recent research on weight poisoning attacks on pre-trained models in the area of NLP may transfer to the context of Computer Vision, where the usage of pre-trained weights is widespread.
In this presentation we present how to make use of the latest technical advancements in computer vision with an R setup even if they are originally implemented in Python.