14 citations · 16 across the 4 of their papers we have counts for
3 papers · 1 filter
Convolutional Prompting meets Language Models for Continual Learning
Anurag Roy, Riddhiman Moulick, Vinay K. Verma +2
Continual Learning (CL) enables machine learning models to learn from continuously shifting new training data in absence of data from old tasks. Recently, pretrained vision transfo…
Exemplar-Free Continual Transformer with Convolutions
Anurag Roy, Vinay Kumar Verma, Sravan Voonna +3
Continual Learning (CL) involves training a machine learning model in a sequential manner to learn new information while retaining previously learned tasks without the presence of…
Temporal Model Adaptation for Person Re-Identification
Niki Martinel, Abir Das, Christian Micheloni +1
Person re-identification is an open and challenging problem in computer vision. Majority of the efforts have been spent either to design the best feature representation or to learn…