Generating instance-level prompts for rehearsal-free continual learning
Abstract We introduce Domain-Adaptive Prompt (DAP), a novel method for continual
learning using Vision Transformers (ViT). Prompt-based continual learning has recently …
learning using Vision Transformers (ViT). Prompt-based continual learning has recently …
Semantic residual prompts for continual learning
Prompt-tuning methods for Continual Learning (CL) freeze a large pre-trained model and
train a few parameter vectors termed prompts. Most of these methods organize these vectors …
train a few parameter vectors termed prompts. Most of these methods organize these vectors …
CDFSL-V: Cross-domain few-shot learning for videos
S Samarasinghe, MN Rizve… - Proceedings of the …, 2023 - openaccess.thecvf.com
Few-shot video action recognition is an effective approach to recognizing new categories
with only a few labeled examples, thereby reducing the challenges associated with …
with only a few labeled examples, thereby reducing the challenges associated with …
Understanding few-shot learning: Measuring task relatedness and adaptation difficulty via attributes
Few-shot learning (FSL) aims to learn novel tasks with very few labeled samples by
leveraging experience from\emph {related} training tasks. In this paper, we try to understand …
leveraging experience from\emph {related} training tasks. In this paper, we try to understand …