Results 1 to 10 of about 7,337,390 (389)
DFPN: Deformable Frame Prediction Network [PDF]
arXiv, 2021 Learned frame prediction is a current problem of interest in computer vision and video compression. Although several deep network architectures have been proposed for learned frame prediction, to the best of our knowledge, there is no work based on using deformable convolutions for frame prediction.
A. Murat Tekalp, M. Akin Yilmaz
arxiv +7 more sources
Reference frame agreement in quantum networks [PDF]
New Journal of Physics, 2013 In order to communicate information in a quantum network effectively, all network nodes should share a common reference frame. Here, we propose to study how well m nodes in a quantum network can establish a common reference frame from scratch, even though t of them may be arbitrarily faulty.
Islam T., Magnin L., Sorg B., Wehner S.
arxiv +6 more sources
Frame Quantization of Neural Networks [PDF]
arXivWe present a post-training quantization algorithm with error estimates relying on ideas originating from frame theory. Specifically, we use first-order Sigma-Delta ($\Sigma\Delta$) quantization for finite unit-norm tight frames to quantize weight matrices and biases in a neural network.
Czaja, Wojciech, Na, Sanghoon
arxiv +3 more sources
Enhanced FRER Mechanism in Time-Sensitive Networking for Reliable Edge Computing [PDF]
SensorsTime-Sensitive Networking (TSN) and edge computing are promising networking technologies for the future of the Industrial Internet. TSN provides a reliable and deterministic low-latency communication service for edge computing.
Shaoliu Hu +3 more
doaj +2 more sources
A Coarse-to-fine Deep Convolutional Neural Network Framework for Frame Duplication Detection and Localization in Forged Videos [PDF]
arXiv, 2018 Videos can be manipulated by duplicating a sequence of consecutive frames with the goal of concealing or imitating a specific content in the same video. In this paper, we propose a novel coarse-to-fine framework based on deep Convolutional Neural Networks to automatically detect and localize such frame duplication.
Chengjiang Long +2 more
arxiv +3 more sources
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Accepted by ...
Zhang, Yitian +5 more
openaire +2 more sources
Sustainable Ecology of the Metropolis and a Local Green Frame Involving Beneficial Insects on the Example of St. Petersburg [PDF]
BIO Web of Conferences, 2023 The article describes the results of design studies aimed at increasing the sustainability of the environment by attracting beneficial insects in the structure of the formation of a green frame. The work was carried out in 2021-2023, the vector of design
Danilova S. B., Kurik A. V.
doaj +1 more source
Applied System Innovation, 2022 Recent work on automotive communications based on the Time-Sensitive Networking (TSN) standards proposed an approach to handle all the real-time frames in a uniform way regardless of their arrival pattern.
Luca Leonardi +2 more
doaj +1 more source
Elf: accelerate high-resolution mobile deep vision with content-aware parallel offloading
ACM/IEEE International Conference on Mobile Computing and Networking, 2021 As mobile devices continuously generate streams of images and videos, a new class of mobile deep vision applications are rapidly emerging, which usually involve running deep neural networks on these multimedia data in real-time.
Wuyang Zhang +7 more
semanticscholar +1 more source
Networking theoretical frames: the ReMath enterprise [PDF]
Educational Studies in Mathematics, 2013 International ...
Artigue M., MARIOTTI, MARIA ALESSANDRA
openaire +7 more sources