2023
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss
CVPR 2023poster
An effective framework for learning 3D representations for perception tasks is distilling rich self-supervised image features via contrastive learning. However, image-to-point representation learning for autonomous driving datasets faces two main challenges: 1) the abundance of self-similarity, whic…