- The paper is a bit incremental. Basically, knowledge distillation is applied to object detection (as opposed to classification as in the original paper).
- Table 4 is incomplete. It should include the results for all four datasets.
- In the related work section, the class of binary networks is missing. These networks are also efficient and compact. Example papers are:
* XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks, ECCV 2016
* Binaryconnect: Training deep neural networks with binary weights during propagations, NIPS 2015
Overall assessment: The idea of the paper is interesting. The experiment section is solid. Hence, I recommend acceptance of the paper.
- In the related work section, the class of binary networks is missing. These networks are also efficient and compact. Example papers are: