14 citations · 27 across the 13 of their papers we have counts for
3 papers · 2 filters
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery
Sheng Zhang, Salman Khan, Zhiqiang Shen +3
Although existing semi-supervised learning models achieve remarkable success in learning with unannotated in-distribution data, they mostly fail to learn on unlabeled data sampled…
CLIP model is an Efficient Continual Learner
Vishal Thengane, Salman Khan, Munawar Hayat +1
The continual learning setting aims to learn new tasks over time without forgetting the previous ones. The literature reports several significant efforts to tackle this problem wit…
D3Former: Debiased Dual Distilled Transformer for Incremental Learning
Abdelrahman Mohamed, Rushali Grandhe, K J Joseph +2
In class incremental learning (CIL) setting, groups of classes are introduced to a model in each learning phase. The goal is to learn a unified model performant on all the classes…