77 citations · 155 across the 20 of their papers we have counts for
3 papers · 1 filter
S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning
Jayateja Kalla, Soma Biswas
Few-shot class-incremental learning (FSCIL) aims to learn progressively about new classes with very few labeled samples, without forgetting the knowledge of already learnt classes.…
Test Time Adaptation for Blind Image Quality Assessment
Subhadeep Roy, Shankhanil Mitra, Soma Biswas +1
While the design of blind image quality assessment (IQA) algorithms has improved significantly, the distribution shift between the training and testing scenarios often leads to a p…
SATA: Source Anchoring and Target Alignment Network for Continual Test Time Adaptation
Goirik Chakrabarty, Manogna Sreenivas, Soma Biswas
Adapting a trained model to perform satisfactorily on continually changing testing domains/environments is an important and challenging task. In this work, we propose a novel frame…