19 citations · 25 across the 5 of their papers we have counts for
5 papers
Enhancing the Robustness of QMIX against State-adversarial Attacks
Weiran Guo, Guanjun Liu, Ziyuan Zhou +2
Deep reinforcement learning (DRL) performance is generally impacted by state-adversarial attacks, a perturbation applied to an agent's observation. Most recent research has concent…
STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation
Yupeng Zheng, Chengliang Zhong, Pengfei Li +8
Self-supervised depth estimation draws a lot of attention recently as it can promote the 3D sensing capabilities of self-driving vehicles. However, it intrinsically relies upon the…
Deep Learning for Omnidirectional Vision: A Survey and New Perspectives
Hao Ai, Zidong Cao, Jinjing Zhu +3
Omnidirectional image (ODI) data is captured with a 360x180 field-of-view, which is much wider than the pinhole cameras and contains richer spatial information than the conventiona…
LAI Estimation of Cucumber Crop Based on Improved Fully Convolutional Network
Weiqi Shu, Ling Wang, Bolong Liu +1
LAI (Leaf Area Index) is of great importance for crop yield estimation in agronomy. It is directly related to plant growth status, net assimilation rate, plant photosynthesis, and…
Model Embedded DRL for Intelligent Greenhouse Control
Tinghao Zhang, Jingxu Li, Jingfeng Li +3
Greenhouse environment is the key to influence crops production. However, it is difficult for classical control methods to give precise environment setpoints, such as temperature,…