Integration of CNNs and RNNs The encoder-decoder framework, where a CNN serves as the encoder and an RNN as the decoder, became a cornerstone in image captioning. This model architecture was ...

The study revolves around the development of an automatic image caption generator. A Vision Encoder Decoder Model is used, combining a Vision Transformer (ViT) for image feature extraction and GPT-2 ...

Images are essential for communicating ideas, feelings, and narratives in the era of digital media and content consumption. Computers to produce textual data for an image that replaces humans. Image ...

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They employed Vision Transformer (ViT) as the vision encoder, leveraging its strong capabilities in image understanding. For predicting image captions, the researchers utilized a standard Transformer ...