What are "downstream models"? In the ResNeSt paper they say on page 4:
&quot;despite their great success in image classification, the meta network structures are distinct from each other, which makes it hard for downstream models to build upon.&quot;
What are downstream models in this context?
Paper can be found at https://arxiv.org/abs/2004.08955
Downstream models are simply models that come after the model in question, in this case ResNet variants. Models for various topics within the computer vision domain often use a backbone to extract features from images, after which a downstream model is used to help to fit the model better to the task at hand. Tables 5, 6, and 7 in the linked paper give a good overview of the different ways backbones are often combined for topics such as object detection and segmentation.