1 citations · 1 across the 2 of their papers we have counts for
3 papers
Unsupervised Continual Clustering via Forward-Backward Knowledge Distillation
Mohammadreza Sadeghi, Sareh Soleimani, Zihan Wang +1
Unsupervised Continual Learning (UCL) aims to enable neural networks to learn sequential tasks without labels or access to past data. A major challenge in this setting is Catastrop…
Beyond Augmentation: Leveraging Inter-Instance Relation in Self-Supervised Representation Learning
Ali Javidani, Babak Nadjar Araabi, Mohammad Amin Sadeghi
This paper introduces a novel approach that integrates graph theory into self-supervised representation learning. Traditional methods focus on intra-instance variations generated b…
Patch-Wise Self-Supervised Visual Representation Learning: A Fine-Grained Approach
Ali Javidani, Mohammad Amin Sadeghi, Babak Nadjar Araabi
Self-supervised visual representation learning traditionally focuses on image-level instance discrimination. Our study introduces an innovative, fine-grained dimension by integrati…