Searching for mobilenetv3

A Howard, M Sandler, G Chu… - Proceedings of the …, 2019 - openaccess.thecvf.com
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 …

Lightweight target detection for the field flat jujube based on improved YOLOv5

S Li, S Zhang, J Xue, H Sun - Computers and Electronics in Agriculture, 2022 - Elsevier
The efficient detection of the flat jujube in a complex natural environment has great
significance in intelligent agricultural operations. Aiming at the problems of the low detection …

D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution

X Zhao, P Zhang, F Song, G Fan, Y Sun, Y Wang… - Computers in biology …, 2021 - Elsevier
Abstract Coronavirus Disease 2019 (COVID-19) has become one of the most urgent public
health events worldwide due to its high infectivity and mortality. Computed tomography (CT) …

Ceramic tile surface defect detection based on deep learning

G Wan, H Fang, D Wang, J Yan, B Xie - Ceramics International, 2022 - Elsevier
Ceramic tiles are widely used in the construction field. In actual production, the difficulty in
extracting texture ceramic tile features and the small size of defects lead to low detection …

Hr-nas: Searching efficient high-resolution neural architectures with lightweight transformers

M Ding, X Lian, L Yang, P Wang… - Proceedings of the …, 2021 - openaccess.thecvf.com
High-resolution representations (HR) are essential for dense prediction tasks such as
segmentation, detection, and pose estimation. Learning HR representations is typically …

KCPNet: Knowledge-driven context perception networks for ship detection in infrared imagery

Y Han, J Liao, T Lu, T Pu, Z Peng - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Ship detection plays a crucial role in a variety of military and civilian marine inspection
applications. Infrared images are irreplaceable data sources for ship detection due to their …

Estimating crowd density with edge intelligence based on lightweight convolutional neural networks

S Wang, Z Pu, Q Li, Y Wang - Expert Systems with Applications, 2022 - Elsevier
Crowd stampedes and incidents are critical threats to public security that have caused
countless deaths during the past few decades. To avoid crowd stampedes, real-time crowd …

Liteseg: A novel lightweight convnet for semantic segmentation

T Emara, HE Abd El Munim… - 2019 digital image …, 2019 - ieeexplore.ieee.org
Semantic image segmentation plays a pivotal role in many vision applications including
autonomous driving and medical image analysis. Most of the former approaches move …

Migo-nas: Towards fast and generalizable neural architecture search

X Zheng, R Ji, Y Chen, Q Wang… - … on Pattern Analysis …, 2021 - ieeexplore.ieee.org
Neural architecture search (NAS) has achieved unprecedented performance in various
computer vision tasks. However, most existing NAS methods are defected in search …

Squeezenas: Fast neural architecture search for faster semantic segmentation

A Shaw, D Hunter, F Landola… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
For real time applications utilizing Deep Neural Networks (DNNs), it is critical that the
models achieve high-accuracy on the target task and low-latency inference on the target …