25 citations · 27 across the 4 of their papers we have counts for
4 papers · 1 filter
RATs-NAS: Redirection of Adjacent Trails on GCN for Neural Architecture Search
Yu-Ming Zhang, Jun-Wei Hsieh, Chun-Chieh Lee +1
Various hand-designed CNN architectures have been developed, such as VGG, ResNet, DenseNet, etc., and achieve State-of-the-Art (SoTA) levels on different tasks. Neural Architecture…
Siamese-NAS: Using Trained Samples Efficiently to Find Lightweight Neural Architecture by Prior Knowledge
Yu-Ming Zhang, Jun-Wei Hsieh, Chun-Chieh Lee +1
In the past decade, many architectures of convolution neural networks were designed by handcraft, such as Vgg16, ResNet, DenseNet, etc. They all achieve state-of-the-art level on d…
SFPN: Synthetic FPN for Object Detection
Yu-Ming Zhang, Jun-Wei Hsieh, Chun-Chieh Lee +1
FPN (Feature Pyramid Network) has become a basic component of most SoTA one stage object detectors. Many previous studies have repeatedly proved that FPN can caputre better multi-s…
CSL-YOLO: A New Lightweight Object Detection System for Edge Computing
Yu-Ming Zhang, Chun-Chieh Lee, Jun-Wei Hsieh +1
The development of lightweight object detectors is essential due to the limited computation resources. To reduce the computation cost, how to generate redundant features plays a si…