Unsupervised Landmark Detection

Unsupervised Landmark Detection in the field of computer vision refers to automatically identifying the key point positions of objects within the same category from raw, unlabeled image sets. The task aims to discover and locate prominent features of objects through unsupervised learning methods without human intervention, thereby enhancing automation efficiency and reducing costs. Its application value lies in its broad applicability to image analysis, object tracking, pose estimation, and other fields, improving the robustness and generalization capabilities of systems.