In this paper, we study the challenge of image-to-video retrieval, which uses the query image to search relevant frames from a large collection of videos.A novel framework based on convolutional neural networks (CNNs) is proposed to perform large-scale video retrieval with low storage cost and high search efficiency.Our framework consists of the ke
At present, the path-planning algorithm based on the grid Keyring map is generally adopted in the field of quadruped robot and the obtained environmental information is represented by a standardized grid map.In this paper, the ADFA* algorithm introduces a dilation factor based on the DFA* to solve the path planning problem under the constraint of c
Understanding the impact-induced ignition properties and energy release behavior of polymer-bonded explosives (PBXs) is critical for the safety of explosive Flasks systems.In this study, a new impact test component was designed using a light gas gun to quantify the ignition mechanism and chemical reaction of micro-damaged PBXs under different inert
Colostrum Current non-invasive approaches for detection of urothelial cancers are suboptimal.We developed a test to detect urothelial neoplasms using DNA recovered from cells shed into urine.UroSEEK incorporates massive parallel sequencing assays for mutations in 11 genes and copy number changes on 39 chromosome arms.In 570 patients at risk for bla