what is the largest network used for image recognition/segmentation? What is the largest network (in number of params and layers) considered in the literature for image recognition/segmentation task? I am in particular interested in ResNet architectures.
Any recommendation for literature is appreciated.
For natural language processing, the largest models are of order of billions, such as Megatron-LM, or DeepSeed with Zero.
Is this also the case for image-classification?
There are many models proposed for image segmentation but I've used the U-net architecture which is basic enough for educational reading.
Some more examples can be found here