T Li, W Bo, C Hu, H Kang, H Liu, K Wang, H Fu - Medical Image Analysis, 2021 - Elsevier
The use of fundus images for the early screening of eye diseases is of great clinical importance. Due to its powerful performance, deep learning is becoming more and more …
Text-guided image editing can have a transformative impact in supporting creative applications. A key challenge is to generate edits that are faithful to the input text prompt …
We present an efficient high-resolution network, Lite-HRNet, for human pose estimation. We start by simply applying the efficient shuffle block in ShuffleNet to HRNet (high-resolution …
We present the next generation of MobileNets based on a combination of complementary search techniques as well as a novel architecture design. MobileNetV3 is tuned to mobile …
The world is facing a huge health crisis due to the rapid transmission of coronavirus (COVID- 19). Several guidelines were issued by the World Health Organization (WHO) for protection …
Object detection is a fundamental visual recognition problem in computer vision and has been widely studied in the past decades. Visual object detection aims to find objects of …
Plants are a major source of food for the world population. Plant diseases contribute to production loss, which can be tackled with continuous monitoring. Manual plant disease …
X Dai, Z Jiang, Z Wu, Y Bao, Z Wang… - Proceedings of the …, 2021 - openaccess.thecvf.com
In recent years, knowledge distillation has been proved to be an effective solution for model compression. This approach can make lightweight student models acquire the knowledge …
Group convolution has been shown to offer great computational savings in various 2D convolutional architectures for image classification. It is natural to ask: 1) if group convolution …