SKFlow: Optical Flow Estimation Using Selective Kernel Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2930293
Abstract: Leveraging on the recent developments in convolutional neural networks (CNNs), optical flow estimation from adjacent frames has been cast as a learning problem, with performance exceeding traditional approaches. The existing networks always use standard convolutional… read more here.
Keywords: level; optical flow; selective kernel; flow estimation ... See more keywords
Deep Neural Networks for Sensor-Based Human Activity Recognition Using Selective Kernel Convolution
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2021.3102735
Abstract: Recently, the state-of-the-art performance in various sensor-based human activity recognition (HAR) tasks has been acquired by deep learning, which can extract automatically features from raw data. In standard convolutional neural networks (CNNs), there is usually… read more here.
Keywords: human activity; selective kernel; based human; har ... See more keywords