[PDF][PDF] Deep unsupervised domain adaptation: A review of recent advances and perspectives
X Liu, C Yoo, F ** from object localization, object pose estimation to grasp estimation for parallel grippers: a review
This paper presents a comprehensive survey on vision-based robotic gras**. We
conclude three key tasks during vision-based robotic gras**, which are object localization …
conclude three key tasks during vision-based robotic gras**, which are object localization …
Class-aware sample reweighting optimal transport for multi-source domain adaptation
S Wang, B Wang, Z Zhang, AA Heidari, H Chen - Neurocomputing, 2023 - Elsevier
Abstract Multi-Source Domain Adaptation (MSDA) techniques have attracted widespread
attention due to their availability to transfer knowledge from multiple source domains to the …
attention due to their availability to transfer knowledge from multiple source domains to the …
[HTML][HTML] Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
Recently, develo** automated video surveillance systems (VSSs) has become crucial to
ensure the security and safety of the population, especially during events involving large …
ensure the security and safety of the population, especially during events involving large …
Pepnet: Parameter and embedding personalized network for infusing with personalized prior information
With the increase of content pages and interactive buttons in online services such as online-
shop** and video-watching websites, industrial-scale recommender systems face …
shop** and video-watching websites, industrial-scale recommender systems face …
[HTML][HTML] Deep learning in automated ultrasonic NDE–developments, axioms and opportunities
The analysis of ultrasonic NDE data has traditionally been addressed by a trained operator
manually interpreting data with the support of rudimentary automation tools. Recently, many …
manually interpreting data with the support of rudimentary automation tools. Recently, many …