Detecting small objects presents many unique and interesting challenges. Motion information is needed to distinguish small moving objects from background. However, it can be much more difficult to leverage motion information in circumstances where the sensor itself or background objects are moving. With your work on small object detection, you will explore techniques such as deep learning, motion compensation and optical flow to make small object detection algorithms robust to many of these challenging situations. During the internship you will receive guidance from motivated and experienced researchers eager to push the limits of small object detection. Moreover, you will have the autonomy to take the lead and choose the techniques that best suit the specific problem you’re working on. This hands-on approach will not only enhance your problem solving skills but also empower you to make impactful contributions in a real-world context.