2023
Contrastive Learning with the Feature Reconstruction Amplifier
AAAI 2023technical
Contrastive learning has emerged as one of the most promising self-supervised methods. It can efficiently learn the transferable representations of samples through the instance-level discrimination task. In general, the performance of the contrastive learning method can be further improved by projec…