Deformable and residual convolutional network for image super-resolution
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02246-0
Abstract: Recent research on image super-resolution (SR) has greatly progressed with the development of convolutional neural networks (CNNs). However, the fixed geometric structures of standard convolution filters largely limit the learning capacity of CNNs for image… read more here.
Keywords: image super; super resolution; image; deformable residual ... See more keywords
Global Context-Aware-Based Deformable Residual Network Module for Precise Pest Recognition and Detection
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.895944
Abstract: An accurate and robust pest detection and recognition scheme is an important step to enable the high quality and yield of agricultural products according to integrated pest management (IPM). Due to pose-variant, serious overlap, dense… read more here.
Keywords: residual network; recognition; global context; deformable residual ... See more keywords