In the testing phase, instead of using region proposals like (Wu et al., 2016a), we directly feed the whole image into the word prediction CNN in order to keep simple and efficient.
each image is encoded into a fixed-length vector, where each dimension represents the probability of the corresponding word occurring in the image.