Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings
Mel Vecerik,Jackie Kay,Raia Hadsell,Lourdes Agapito,Jon Scholz,Mel Vecerik,Jackie Kay,Raia Hadsell,Lourdes Agapito,Jon Scholz
Dense object tracking, the ability to localize specific object points with pixel-level accuracy, is an important computer vision task with numerous downstream applications in robotics. Existing approaches either compute dense keypoint embeddings in a single forward pass, meaning the model is trained to track everything at once, or allocate their full capacity to a sparse predefined set of points, ...
