Papers with Image-like Retrieval

1 papers
IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning (2024.emnlp-main)

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Challenge: Existing text-only training methods overlook the modality gap between using text data during training and employing images during inference.
Approach: They propose a novel approach that aligns text features with visually relevant features to mitigate the modality gap between using text data during training and employing images during inference.
Outcome: The proposed method outperforms the state-of-the-art methods in image captioning and video captioning by a significant margin compared to training with text data.

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