NCA-GENM Exam Dumps | You are developing a system to generate captions for videos. The video frames are processed using a pre-trained

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Question 121/192

You are developing a system to generate captions for videos. The video frames are processed using a pre-trained ResNet model, and the audio track is processed using a pre-trained Wav2Vec model. Which of the following techniques is MOST suitable for aligning the visual and audio features to generate accurate and coherent captions?

A. Concatenating the ResNet and Wav2Vec features and feeding them into a single LSTM.

B. Training separate LSTMs for visual and audio features and averaging their outputs.

C. Using cross-attention mechanisms where the audio features attend to the visual features, and vice-versa, before feeding them into a Transformer decoder.

D. Using a simple feedforward network to combine the ResNet and Wav2Vec features.

E. Ignoring the audio track and only using the video frames.

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