Fine-Grained Vehicle Perception via 3D Part-Guided Visual Data Augmentation

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Other Links: arxiv.org

Abstract:

Holistically understanding an object and its 3D movable parts through visual perception models is essential for enabling an autonomous agent to interact with the world. For autonomous driving, the dynamics and states of vehicle parts such as doors, the trunk, and the bonnet can provide meaningful semantic information and interaction sta...More

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