Domain Adaptation for Neural Networks by Parameter Augmentation
Table 6: Domain adaptation from Flickr30K to MSCOCO dataset.
['[EMPTY]', 'B1', 'B2', 'B3', 'B4', 'M', 'C']
This may not be a typical situation because the number of samples in the target domain is larger than that of the source domain. The SrcOnly model is trained only with Flickr30K and tested on the MS COCO dataset. We observe that FineTune gives little benefit over TgtOnly, which implies that the difference of the initial parameters has little effect in this case. Also, Dual gives little benefit over TgtOnly, meaning that the parameter sharing except for the output layer is not important in this case. Note that the CIDEr score of Proposed is slightly improved.