The key themes that defined the year behind us will also shape the one ahead. The most-read articles of 2025 tracked a return ...

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Abstract: There are two mainstream approaches for object detection: top-down and bottom-up. The state-of-the-art approaches are mainly top-down methods. In this paper, we demonstrate that bottom-up ...

Object detection is extensively used in today's world of AI. It is one of the key features of Autonomous Driving Systems. The current object detection models are highly dependent on centralized data ...

Abstract: Tiny object detection in the field of remote sensing has always been a challenging and interesting topic. Despite many researchers working on this problem, it has not been well-solved due to ...

Purdue University's online Master of Science in Communication is designed for professionals ready to excel in the dynamic field of communication. Tailor your degree with six concentration options and ...

Humans can recognize novel objects in this image despite having never seen them before. “Is it possible to learn open-world (novel) object proposals?” In this paper we propose Object Localization ...