Semantic-Segmentation-Suite
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question about frontend models
im new to this field .
In this repo, there are frontend models.
if i use them, am i doing fine-tuning ? or transfer learning?
for example, if i use ResNet101 as frontend and u-net as model, am i doing transfer learning from ResNet101 to U-net ?
Sorry to ask such a basic question.
The frontend is just to extract the features from the image. The model itself will give the prediction by feeding in those extracted features
@mojoee can we use others such as VGG or EfficientNet from keras application as the front end ?
well that's fine, but makes it complicated because you need to make sure to transform your tensor from keras to the tensorflow format. I would say, it's better to stay with tensorflow.