Ess-infogail: Semi-supervised imitation learning from imbalanced demonstrations
Imitation learning aims to reproduce expert behaviors without relying on an explicit reward
signal. However, real-world demonstrations often present challenges, such as multi-modal …
signal. However, real-world demonstrations often present challenges, such as multi-modal …
Building detection in remote sensing image based on improved YOLOv5
W Ding, L Zhang - 2021 17th International Conference on …, 2021 - ieeexplore.ieee.org
Due to the different seismic design of high and low-rise buildings, the seismic levels are
often different in the same intensity area. Using remote sensing to distinguish various height …
often different in the same intensity area. Using remote sensing to distinguish various height …
Open-set low-shot classification leveraging the power of instance discrimination
S Kasapis, G Zhang, JM Smereka… - The Journal of …, 2023 - journals.sagepub.com
In search, exploration, and reconnaissance operations of autonomous ground vehicles, an
image recognition capability is needed for specifically classifying targeted objects (relevant …
image recognition capability is needed for specifically classifying targeted objects (relevant …
Building detection algorithm in multi-scale remote sensing images based on attention mechanism
W Ding, L Zhang, G Yang - Evolutionary Intelligence, 2023 - Springer
The seismic fortification intensity requirements of buildings of various heights are different.
Identifying the heights of different buildings using a specific method can reduce secondary …
Identifying the heights of different buildings using a specific method can reduce secondary …
Processing Image Data from Unstructured Environments
S Kasapis - 2023 - deepblue.lib.umich.edu
Advanced mobility research centers capture large amounts of data from ground vehicle
systems during development and experimentation in both manned and autonomous …
systems during development and experimentation in both manned and autonomous …