Abstract: Annotation techniques and object detection methods play a huge role in AI -based waste management systems, enabling efficient identification and classification of recyclable materials.

For as long as I can remember, I’ve wrestled with my own thoughts and feelings about identity. Why am I, David, the person I am? How changeable is that? Where do those thoughts and feelings come from ...

Multi-Object Tracking (MOT) aims to detect and associate all desired objects across frames. Most methods accomplish the task by explicitly or implicitly leveraging strong cues (i.e., spatial and ...

Abstract: Deep learning-based object detection has driven the development of multi-object tracking (MOT). However, the existing MOT methods are mainly aimed at regular motion, which makes it difficult ...

A library to support creating unit-tests and much more. Compared to other, more behavior-oriented frameworks like EasyMock or Mockito, it focuses, as its name implies, on testing and generating ...