Video unsupervised domain adaptation with deep learning: A comprehensive survey
Video analysis tasks such as action recognition have received increasing research interest
with growing applications in fields such as smart healthcare, thanks to the introduction of …
with growing applications in fields such as smart healthcare, thanks to the introduction of …
Insights into aerial intelligence: assessing CNN-based algorithms for human action recognition and object detection in diverse environments
Today's era follows a data-driven decision process for large-scale environment analysis.
Aerial view-based decision process plays a key role in various domains including …
Aerial view-based decision process plays a key role in various domains including …
Causal Factor Disentanglement for Few-Shot Domain Adaptation in Video Prediction
An important challenge in machine learning is performing with accuracy when few training
samples are available from the target distribution. If a large number of training samples from …
samples are available from the target distribution. If a large number of training samples from …
DMSD-CDFSAR: Distillation from Mixed-Source Domain for Cross-Domain Few-shot Action Recognition
F Guo, YK Wang, H Qi, L Zhu, J Sun - arXiv preprint arXiv:2407.05657, 2024 - arxiv.org
Few-shot action recognition is an emerging field in computer vision, primarily focused on
meta-learning within the same domain. However, challenges arise in real-world scenario …
meta-learning within the same domain. However, challenges arise in real-world scenario …