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Introduction to Image Captioning

Image Captioning is the process of using a deep learning model to  describe the content of an image. Most captioning architectures use an  encoder-decoder framework, where a convolutional neural network (CNN)  encodes the visual features of an image, and a recurrent neural network  (RNN) decodes the features into a descriptive text sequence.

VQA

Visual Question Answering (VQA) is the process of asking a question  about the contents of an image, and outputting an answer. VQA uses  similar architectures to image captioning, except that a text input is  also encoded into the same vector space as the image input.

Image captioning and VQA are used in a wide array of applications:

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