1 code implementation • ICCV 2023 • Sarinda Samarasinghe, Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah
To address this issue, in this work, we propose a novel cross-domain few-shot video action recognition method that leverages self-supervised learning and curriculum learning to balance the information from the source and target domains.
cross-domain few-shot learning Few-Shot action recognition +3
no code implementations • 9 Oct 2021 • Nazmul Karim, Umar Khalid, Nick Meeker, Sarinda Samarasinghe
Through comparing adversarial robustness achieved without adversarial training, with triplet loss adversarial training, and our contrastive pre-training combined with triplet loss adversarial fine-tuning, we find that our method achieves comparable results with far fewer epochs re-quired during fine-tuning.