Dec 28, 2023 · In this paper, we rethink two key components, i.e., localization and recognition, for object detection, and find that the correctness of them ...

Dec 28, 2023 · In this paper, we rethink two key components, i.e., localization and recognition, for object detection, and find that the correctness of them ...

This paper rethink two key components, i.e., localization and recognition, for object detection, and finds that the correctness of them are highly related, ...

Motivated by this, we propose an efficient query strategy, termed as DeLR, that Decoupling the Localization and Recognition for active query. In this way, we ...

DeLR: Active Learning for Detection with Decoupled Localization and Recognition Query ... In DeLR, the query is based on region-level, and we ...

We hope our proposed query strategy would shed light on researches in active learning in object detection. 翻译：暂无翻译.

DeLR: Active Learning for Detection with Decoupled Localization and Recognition Query ... DeLR, that Decoupling the Localization and Recognition for active query.

This paper presents two metrics for measuring the informativeness of an object hypothesis and shows that by augmenting a conventional active-learning ...

DeLR: Active Learning for Detection with Decoupled Localization and Recognition Query. ... Learning for Efficient Object Detection. VCIP 2022: 1-5 text to speech.

DeLR: Active Learning for Detection with Decoupled Localization and Recognition Query ... Learning for Skeleton-Based Action Recognition · 1 code implementation ...