[HTML][HTML] Improved YOLOv8 Model for Phenotype Detection of Horticultural Seedling Growth Based on Digital Cousin
Crop phenotype detection is a precise way to understand and predict the growth of
horticultural seedlings in the smart agriculture era to increase the cost-effectiveness and …
horticultural seedlings in the smart agriculture era to increase the cost-effectiveness and …
TrojanRobot: Physical-World Backdoor Attacks Against VLM-based Robotic Manipulation
Robotic manipulation in the physical world is increasingly empowered by\textit {large
language models}(LLMs) and\textit {vision-language models}(VLMs), leveraging their …
language models}(LLMs) and\textit {vision-language models}(VLMs), leveraging their …
Dynamics as Prompts: In-Context Learning for Sim-to-Real System Identifications
Sim-to-real transfer remains a significant challenge in robotics due to the discrepancies
between simulated and real-world dynamics. Traditional methods like Domain …
between simulated and real-world dynamics. Traditional methods like Domain …
Trustworthy Transfer Learning: A Survey
J Wu, J He - arxiv preprint arxiv:2412.14116, 2024 - arxiv.org
Transfer learning aims to transfer knowledge or information from a source domain to a
relevant target domain. In this paper, we understand transfer learning from the perspectives …
relevant target domain. In this paper, we understand transfer learning from the perspectives …
CDGFD: Cross-Domain Generalization in Ethnic Fashion Design Using LLMs and GANs: A Symbolic and Geometric Approach
M Deng, L Chen - IEEE Access, 2024 - ieeexplore.ieee.org
In this paper, we propose a novel framework that leverages Large Language Models (LLMs)
and Generative Adversarial Networks (GANs) to address the challenges of cross-domain …
and Generative Adversarial Networks (GANs) to address the challenges of cross-domain …