Contrastive Supervised Distillation for Continual Representation Learning

1 code implementation • 11 May 2022 • Tommaso Barletti, Niccolo' Biondi, Federico Pernici, Matteo Bruni, Alberto del Bimbo

In this paper, we propose a novel training procedure for the continual representation learning problem in which a neural network model is sequentially learned to alleviate catastrophic forgetting in visual search tasks.

Representation Learning Retrieval