Summary of Mining Fine-grained Image-text Alignment For Zero-shot Captioning Via Text-only Training, by Longtian Qiu et al.
Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training
by Longtian Qiu, Shan Ning, Xuming He
First submitted to arxiv on: 4 Jan 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Medium Difficulty summary: The paper tackles the challenge of image captioning, aiming to generate descriptive text about images. Building upon previous work that leverages Contrastive Image Language Pre-training (CLIP), this study reveals a “modality gap” in the latent space of CLIP that hinders zero-shot captioning performance. By analyzing the CLIP latent space, researchers find that visual features of image subregions can bridge the modality gap and paired captions become more aligned. To address this issue, they propose a novel framework for zero-shot image captioning with text-only training, incorporating subregion feature aggregation, noise injection, and CLIP reranking strategies. The proposed method demonstrates remarkable performance improvements on MSCOCO, Flickr30k, and VQAV2 datasets. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Low Difficulty summary: Imagine taking a picture and having it automatically describe what’s in the photo. That’s what image captioning is all about! Researchers found that there was a problem with previous methods that made them not very good at this task. They looked closer at how images and text relate to each other and discovered a way to bridge the gap between the two. By using this new approach, they created a better method for generating captions that matches what people would write. This is important because it can help us build more advanced AI systems that can understand and describe images. |
Keywords
» Artificial intelligence » Image captioning » Latent space » Zero shot
