Open joonesmks opened 1 year ago
@joonesmks As you know, It has some tweaks from the paper's network design since I got low mAP scores rather than the paper's one. Thus, I make the model extract richer features from 5 conv layers in neck instead of two fully-connected layers.
In the original paper (https://arxiv.org/abs/1506.02640) the authors are using two fully connected layers for the "neck" layer, but I can’t find them in this implementation.
Instead the neck in this implementation
neck.py
is made of convolutions. What is the rationale behind this?