[图书][B] Synthetic data for deep learning

SI Nikolenko - 2021 - Springer
You are holding in your hands… oh, come on, who holds books like this in their hands
anymore? Anyway, you are reading this, and it means that I have managed to release one of …

FCAU-Net for the Semantic Segmentation of Fine-Resolution Remotely Sensed Images

X Niu, Q Zeng, X Luo, L Chen - Remote Sensing, 2022 - mdpi.com
The semantic segmentation of fine-resolution remotely sensed images is an urgent issue in
satellite image processing. Solving this problem can help overcome various obstacles in …

Augmented CBRNE responder-directions for future research

G Regal, M Murtinger, H Schrom-Feiertag - 13th Augmented Human …, 2022 - dl.acm.org
In this position paper, we discuss possibilities to support emergency personnel in incidents
involving chemical, biological, radioactive, nuclear, and explosive (CBRNE) materials …

Unsupervised End-to-End Transformer based approach for Video Anomaly Detection

MA Hafeez, S Javed, M Madden… - 2023 38th International …, 2023 - ieeexplore.ieee.org
Anomaly detection in videos is a challenging task due to multiple constraints including the
imbalanced nature of anomalies, limited annotated data, and limitation of existing …

Enhancing semantic segmentation of aerial images with inhibitory neurons

I Ullah, S Reilly, MG Madden - 2020 25th International …, 2021 - ieeexplore.ieee.org
In a Convolutional Neural Network, each neuron in the output feature map takes input from
the neurons in its receptive field. This receptive field concept plays a vital role in today's …