Improving Pre-trained CNN-LSTM Models for Image Captioning with Hyper-Parameter Optimization
Nuha M. Khassaf,
Nada Hussein M. Ali
Abstract:The issue of image captioning, which comprises automatic text generation to understand an image’s visual information, has become feasible with the developments in object recognition and image classification. Deep learning has received much interest from the scientific community and can be very useful in real-world applications. The proposed image captioning approach involves the use of Convolution Neural Network (CNN) pre-trained models combined with Long Short Term Memory (LSTM) to generate image captions. Th… Show more
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