Shadow detection in single RGB images using a context preserver convolutional neural network trained by multiple adversarial examples
S Mohajerani, P Saeedi - IEEE Transactions on Image …, 2019 - ieeexplore.ieee.org
Automatic identification of shadow regions in an image is a basic and yet very important task
in many computer vision applications, such as object detection, target tracking, and visual …
in many computer vision applications, such as object detection, target tracking, and visual …
Real-time shadow detection using multi-channel binarization and noise removal
MCF Macedo, VP Nascimento, ACS Souza - Journal of Real-Time Image …, 2020 - Springer
High-quality automatic shadow detection remains a challenging problem in image
processing and computer vision. Existing techniques for shadow detection typically make …
processing and computer vision. Existing techniques for shadow detection typically make …
Research on edge‐guided disambiguation module for shadow detection
Y Huang, Z Yang, S Liu, H Li, H Zhu - IET Image Processing, 2022 - Wiley Online Library
In shadow detection area, deep learning‐based methods have achieved outstanding
performance. However, the potential ambiguity in shadow images is still the main reason for …
performance. However, the potential ambiguity in shadow images is still the main reason for …