Baseline and Baseline++ #way#shot method about closerlookfewshot HOT 3 OPEN

Hello, n-way and k-shot specify the parameter in meta-training methods in the meta-training stage. For Baseline and Baseline++, it always trains a classifier for all class with all data in training stage.

from closerlookfewshot.

yes，I saw the content in code。However, there were five shot and one shot of baseline and baesline++ comparison in experiment result. How that happened

from closerlookfewshot.

yes，I saw the content in code。However, there were five shot and one shot of baseline and baesline++ comparison in experiment result. How that happened

For novel class which contains few samples per class, we do train the classifier of both baseline and baseline++ in the "few-shot method" (i.e., using the few samples from the novel class).

As both meta-learning method and our baseline methods use the same amount of training samples (abundant samples from the base class and few samples from the novel class), we thus present the comparison in our paper.

Please have a look at our paper.

from closerlookfewshot.