Papers with SOTA automated recall systems
IC3: Image Captioning by Committee Consensus (2023.emnlp-main)
Copied to clipboard
| 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%. |