大名鼎鼎的开山之作Show and Tell: A Neural Image Caption Generator四个谷歌老哥列在一起就问你怕不怕。encoder使用的自家GoogleNet,decoder使用的LSTM,这个方向的很多论文参考必有这篇,虽然性能在现在看来并不算太好(但可以看下里面和当年的那些方法的效果对比),但是有了这篇,这个方向才有了现在这么多的关注。...
Image-Captioning CNN-Encoder and RNN-Decoder (Bahdanau Attention) for image caption or image to text onMS-COCOdataset. Task Description Given an image like the example below, our goal is to generate a caption such as "a surfer riding on a wave". ...
LOAD TEXT DATA AND SET PATHSCREATE IMAGE - DESCRIPTION MAPTEXT CLEANINGCREATE A VOCABULARYREFORMAT IMG - TEXT DATA TO TOKEN.TXTLOAD TRAIN TEXT DATASPLIT TRAIN AND TEST IMAGESCREATE TRAIN DATA MAP WITH START AND END SEQ FLAGSCREATE LIST OF ALL TRAINING CAPTIONSREDUCE VOCABULARY FOR ROBUSTNESSINDEX...
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3.2. Cross Encoder–Decoder Transformer The transformer-based image captioning model has shown good performance in long text descriptions by capturing the association between image features more than other encoder–decoder models [1,5,6,7]. This is because the transformer is an architecture that adop...