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dc.contributor.author | Brazhnyi, Anton![]() |
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dc.date.accessioned | 2024-08-22T09:58:06Z | |
dc.date.available | 2024-08-22T09:58:06Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Brazhnyi Anton. Few-Shot Object Counting Using External Visual Prompts. Ukrainian Catholic University, Faculty of Applied Sciences, Department of Computer Sciences. Lviv 2024, 40 p. | uk |
dc.identifier.uri | https://er.ucu.edu.ua/handle/1/4663 | |
dc.language.iso | en | uk |
dc.subject | Few-Shot Object Counting | uk |
dc.subject | External Visual Prompts | uk |
dc.title | Few-Shot Object Counting Using External Visual Prompts | uk |
dc.type | Preprint | uk |
dc.status | Публікується вперше | uk |
dc.description.abstracten | Object counting is the task of estimating the number of specific objects present in an image. Similarly to other computer vision tasks, traditional object counting meth- ods typically require a large training dataset and are not suited for counting novel classes. Class-agnostic object counting, which is generally divided into few-shot and zero-shot approaches, aims to count arbitrary object categories. Few-shot count- ing requires manually labeled image patches depicting the object of interest, which is impractical in real-world applications. Zero-shot counting is primarily focused on using text prompts to specify the object without relying on manual annotations. However, text descriptions can be ambiguous and may not precisely convey ob- ject characteristics such as shape, texture, or size. Visual exemplars such as image patches act as a more direct reference, which leads to better generalizability and ac- curacy. In this work, we plan to explore the possibility of counting arbitrary objects in a few-shot manner without having humans in the loop. In particular, we are in- terested in utilizing a set of support images, which can be prepared in advance for a given object category and later used for all the query images. This would allow to accurately count specific objects without the need for extensive annotation. | uk |