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This repository has been archived by the owner on Sep 29, 2023. It is now read-only.
As there are more popular and high-efficient base networks, i.e. ResNetX, why select VGG as the feature extractor? As we know, it enjoys tremendous parameters that slow down the computation speed and requires increasing memory.
The text was updated successfully, but these errors were encountered:
Yes, the feature extractor can be ResNet, DenseNet, etc. Actually, this code is based on SSD whose feature extractor is VGG. Also, you can try other feature extractors. I think you can get better results. Besides, we only employ the center of the box which is also the weakness of this network. There are lots of room for improvement.
As there are more popular and high-efficient base networks, i.e. ResNetX, why select VGG as the feature extractor? As we know, it enjoys tremendous parameters that slow down the computation speed and requires increasing memory.
The text was updated successfully, but these errors were encountered: