Papers with SOTA automated recall systems

1 papers
IC3: Image Captioning by Committee Consensus (2023.emnlp-main)

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Challenge: Traditionally, image captioning models are trained to generate a single “best’ (most like a reference) image caption.
Approach: They propose a method to generate a single caption that captures high-level details from several annotator viewpoints.
Outcome: The proposed method outperforms baseline SOTA models and improves the performance of automated recall systems by up to 84%.

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