Analysis of Image Captioning Approaches from a Deep Learning Perspective

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Analysis reveals challenges in generating high-quality captions through deep learning models, highlighting multimodal integration methods.

Image captioning creates textual insights from images, aiding in automatic indexing and accessibility.
Deep learning leverages CNNs for visual feature extraction and RNNs for generating coherent captions.
The paper evaluates benchmark datasets like Flickr8k and MSCOCO, revealing performance discrepancies.
Challenges remain in enhancing models for robust captions that accurately reflect complex visual content.

Chawla et al. (2025) studied this question.

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View Full Paper

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Authors

Analysis reveals challenges in generating high-quality captions through deep learning models, highlighting multimodal integration methods.

Image captioning creates textual insights from images, aiding in automatic indexing and accessibility.
Deep learning leverages CNNs for visual feature extraction and RNNs for generating coherent captions.
The paper evaluates benchmark datasets like Flickr8k and MSCOCO, revealing performance discrepancies.
Challenges remain in enhancing models for robust captions that accurately reflect complex visual content.

Chawla et al. (2025) studied this question.

View Full Paper

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Bookmark