RIPE++: Reinforced Keypoint Learning from Positive Pairs Only
This research introduces a reinforcement learning method to train keypoint extractors and matchers using only positive image pairs, eliminating the need for negative training data. The core innovation is a geometric reward signal based on inlier consistency, allowing models to learn robust representations from extremely limited supervision.