TextguidedATT
TextguidedATT copied to clipboard
skipthought/coco_cap_uni_gru_word2vec.t7
Hi, @JonghwanMun , thanks for your excellent code. I have a little question to ask. Specifically,
Did you obtain the skipthought/coco_cap_uni_gru_word2vec.t7 file by training the skipthought model? Can I just map my subdictionary(COCO) to their corresponding vectors according to the initial vocabulary (930,913 words, used to train the skipthought model by the original paper [https://arxiv.org/abs/1506.06726])
No, I did not train the original skip-thought model. I wrote a code to obtain weights of vocabulary for Text-guided attention model from the whole weights trained using Theano (original version).