M Qiao, Z Meng, J Ma, X Yuan - Apl Photonics, 2020 - pubs.aip.org
… deeplearning based (or related) regimes for video SCI reconstruction. For a fair comparison, we build a video … -to-end neuralnetworks and PnP algorithms (with deep denoising priors) …
MM Soliman, MH Kamal, MAEM Nashed… - … information systems …, 2019 - ieeexplore.ieee.org
… research. Most traditional ways of violence recognition that are based on human attention ie traditional surveillance videosystems… Before the deeplearning era due to a shortage of data …
… rate of >30 frames (images) per second (<30 ms per image) is regarded as a real-time speed for videoprocessing, but slower rates may be acceptable for particular applications. …
… articles covered in this review have applied traditional machinelearning approaches, with … literaturesurvey to highlight the great potential now presented by different DL techniques for …
… deeplearning-based fire detection methodusing a video sequence, which imitates the human fire detection process… We propose a deeplearning-based fire detection method that …
… that these methodsuse to capture and analyze video data are cost-… techniques in the field of computer vision and machine … earlier, this researchstudy compared three machinelearning …
N O'Mahony, S Campbell, A Carvalho… - Advances in Computer …, 2020 - Springer
… as Geometric DeepLearning and has multiple applications such as video classification, … This paper will focus on 3DCNNs for processing data from 3D Vision Systems. Wherein 2D …
J Tang, S Li, P Liu - Pattern Recognition, 2021 - Elsevier
… comprehensive review of vision-based lane detection methods… lane detection methods and related deeplearningmethods. … methods into two categories: two-step and one-step methods…
… literaturereviewprocess, we performed a systematicsearch on Scopus and Google Scholar databases with the keywords “deeplearning”… , the second video is another 16 min raw video …