Specifically for the classification task, the goal is, for each of the classes predict the presence/ absence of at least one object of that class in a test image. We will use Pascal VOC 2012 dataset ...

For this benchmark we implemented Treap in a few classic (C++, Java, Python) and hyped (JavaScript, Kotlin, Swift, Rust) programming languages and tested their performance on Linux, Mac OS, and ...

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Abstract: Few-Shot Object Detection (FSOD) aims to detect the objects of novel classes using only a few manually annotated samples. With the few novel class samples, learning the inter-class ...

Abstract: Object counting aims to estimate the number of objects in images. The leading counting approaches focus on single-category counting tasks and achieve impressive performance. Nevertheless, ...