[D] Higher order arity in image-based object detection models? Transfer learning: objects → attributes → relations

Web: https://www.reddit.com/r/MachineLearning/comments/vgd63x/d_higher_order_arity_in_imagebased_object/

Convolutional neural networks have a well-known track record when it comes to detecting objects in images. A person, a cat, a helicopter; given enough examples pretty much any discrete visible entity is learnable.

* But from the perspective of human language, this kind of model only produces nouns. Or in terms of arity (aka adicity/degree/valency/rank), one might say these are all **nullary** functions/clauses. In other words, they're concepts that can be expressed without any contextual variables/arguments.
* One step up …

detection image learning machinelearning models objects relations transfer transfer learning