Nicolas Gorlo presented his work on few-shot instance segmentation and re-identification at WACV 2024. I had the great pleasure of advising Nicolas on this project.

To build robots that can be quickly be taught about new objects and concepts, we first need to solve the problem of segmenting and re-identifying objects in images from few examples. Here, we present a benchmark and baseline algorithm for segmenting and re-identifying objects from sparse examples in the form of a few clicks from a user. The algorithm then has to segment the objects in future frames and re-identify the same object in different contexts.

See the project website for all the details.