Keypoint Localization

Keypoint localization focuses on accurately identifying the locations of specific points (keypoints) within images or videos, crucial for tasks like pose estimation and object recognition. Recent research emphasizes improving the generalization and robustness of keypoint localization models, exploring approaches like leveraging large language models for instruction-based localization and employing graph-based architectures to capture keypoint relationships. These advancements are driven by the need for more efficient and accurate methods, particularly in scenarios with limited labeled data or challenging conditions like occlusions, leading to improved performance in applications ranging from robotics to medical image analysis.