no code implementations • 6 Nov 2020 • Yorai Shaoul, Katherine Liu, Kyel Ok, Nicholas Roy
We show that self-labelling challenging triplets--choosing positive examples separated by large temporal distances and negative examples close in the descriptor space--improves the quality of the learned descriptors for the multi-object tracking task.