Deep Learning, Artificial Intelligence, Convolutional Network, Object Detection, Machine Learning.
Transition Layers: Compression factor θ= 1 means that there is no feature map reduction in the transition layer, while θ = 0.5 means half of the feature maps are reduced. Results show that θ = 1 yields 2.9% higher mAP than θ = 0.5. # Channels in bottleneck layers: Wider bottleneck layers (with more