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Found 5 papers, 2 papers with code
Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild
While 6D object pose estimation has wide applications across computer vision and robotics, it remains far from being solved due to the lack of annotations.
Semantic-Aware Fine-Grained Correspondence
Establishing visual correspondence across images is a challenging and essential task.
Auto-Encoding Adversarial Imitation Learning
In this work, we propose Auto-Encoding Adversarial Imitation Learning (AEAIL), a robust and scalable AIL framework.
Auto-Encoding Inverse Reinforcement Learning
Reinforcement learning (RL) provides a powerful framework for decision-making, but its application in practice often requires a carefully designed reward function.
Learning from Demonstrations with Energy based Generative Adversarial Imitation Learning
It turns out to be a bottleneck for modern reinforcement learning approaches to be applied into more realistic scenarios.
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