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cs.CV2024
Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look
Yong Zhang, Rui Zhu, Shifeng Zhang +3
Self-supervised contrastive learning heavily relies on the view variance brought by data augmentation, so that it can learn a view-invariant pre-trained representation. Beyond incr…
cs.CV2024★ 1 cited
V2X-PC: Vehicle-to-everything Collaborative Perception via Point Cluster
Si Liu, Zihan Ding, Jiahui Fu +4
The objective of the collaborative vehicle-to-everything perception task is to enhance the individual vehicle's perception capability through message communication among neighborin…