An ensemble of eight CNN feature extractors plus a transformer reports high BLEU scores on Flickr8k and Flickr30k, but the final caption is selected using the test references, invalidating the evaluation.
Hyperparameter Analysis for Image Captioning
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abstract
In this paper, we perform a thorough sensitivity analysis on state-of-the-art image captioning approaches using two different architectures: CNN+LSTM and CNN+Transformer. Experiments were carried out using the Flickr8k dataset. The biggest takeaway from the experiments is that fine-tuning the CNN encoder outperforms the baseline and all other experiments carried out for both architectures.
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An Ensemble Model with Attention Based Mechanism for Image Captioning
An ensemble of eight CNN feature extractors plus a transformer reports high BLEU scores on Flickr8k and Flickr30k, but the final caption is selected using the test references, invalidating the evaluation.