Research map / Vision-language and multimodal / Human and embodied modeling
A Hierarchical Approach for Generating Descriptive Image Paragraphs
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use pooled region features instead of whole-image features | Image-Flat paragraph model · Image Paragraphs test | METEOR: 12.82 -> 13.54 | Helped |
| Initialize the language model with region-caption pretraining | Regions-Flat-Scratch · Image Paragraphs test | METEOR: 13.54 -> 14.23 | Helped |
| Use hierarchical sentence- and word-level language modeling instead of flat decoding | Regions-Flat-Pretrained · Image Paragraphs test | METEOR: 14.23 -> 15.95 | Helped |
| Use hierarchical sentence- and word-level language modeling instead of flat decoding | Regions-Flat-Pretrained · Image Paragraphs test | BLEU-4: 8.97 -> 8.69 | Hurt |
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