Summary of Cpa-enhancer: Chain-of-thought Prompted Adaptive Enhancer For Object Detection Under Unknown Degradations, by Yuwei Zhang et al.
CPA-Enhancer: Chain-of-Thought Prompted Adaptive Enhancer for Object Detection under Unknown Degradations
by Yuwei Zhang, Yan Wu, Yanming Liu, Xinyue Peng
First submitted to arxiv on: 17 Mar 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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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 A novel adaptive enhancer called CPA-Enhancer is proposed for object detection in unpredictable environments, where the degradation type is unknown. The CPA-Enhancer uses a chain-of-thought (CoT) prompted approach to progressively adapt its enhancement strategy based on step-by-step guidance from CoT prompts that encode degradation-related information. This plug-and-play model can be integrated into generic detectors to achieve significant gains on degraded images without prior knowledge of the degradation type. The CPA-Enhancer sets a new state-of-the-art for object detection and also boosts the performance of other downstream vision tasks under unknown degradations. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary CPA-Enhancer is a new way to help computers detect objects in pictures that might be messy or blurry because they are not very good quality. It’s like having a special tool that can make these bad pictures better, so it can find what you’re looking for. The tool uses a special kind of language called chain-of-thought prompts to figure out how to make the picture better. This is the first time anyone has used this kind of prompting for object detection tasks. It’s very useful because it means computers can work well even when they don’t know beforehand what kind of trouble the pictures are in. |
Keywords
* Artificial intelligence * Object detection * Prompting
