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INDEX TERMS Image captioning, deep learning, Siamese network, recurrent neural network, convolutional neural network, attention, fully convolutional networks. ... Our extensive experiments indicate that the FCC model outperforms other learning models on the benchmark Spot-the-Diff datasets by generating succinct and meaningful textual differences in images. ... Overall, our Fully Convolutional CaptionNet model presents improved features over other models and our updated contributions are as follows: • We propose a novel end-to-end encoder-decoder model that employs ...doi:10.1109/access.2019.2957513 fatcat:4t7nsc62tze5hjq56rmvhruzsm
With the emergence of deep learning, computer vision has witnessed extensive advancement and has seen immense applications in multiple domains. ... Also, the semantic information capturing of objects and their attributes is presented in relation to their annotation generation. ... Furthermore, the Siamese Difference Captioning Model (SDCM) also combined techniques from deep Siamese convolutional neural network, soft attention mechanism, word embedding, and bidirectional long short-term ...doi:10.1155/2021/5538927 fatcat:4yae4kjqdne6vaqus5plna4mwm
Moreover, to get more insight and deeper understanding, self-attention mechanism of transformers is also explained briefly. ... Recent escalation in the field of computer vision underpins a huddle of algorithms with the magnificent potential to unravel the information contained within images. ... Existing techniques, on the other hand, are more concerned with end-to-end automatic classification using computers than with human-computer interaction. Hence, Chen et al. ...arXiv:2203.15269v1 fatcat:wecjpoikbvfz5cygytqpktoxdq