Results 21 to 30 of about 4,485,063 (290)
Channel Distillation: Channel-Wise Attention for Knowledge Distillation
CoRR, 2020 Knowledge distillation is to transfer the knowledge from the data learned by the teacher network to the student network, so that the student has the advantage of less parameters and less calculations, and the accuracy is close to the teacher. In this paper, we propose a new distillation method, which contains two transfer distillation strategies and a ...
Zaida Zhou +3 more
openaire +3 more sources
Attention: A view suggested by systemic and cybernetic consideration [PDF]
, 1978 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Current views and models about attention regard man as a 'transmitter channel' and try to characterise the properties of that 'odd channel'.
Hernandez-Chavez, Francisco Jose
core +7 more sources
Underwater object detection algorithm based on channel attention and feature fusion
Xibei Gongye Daxue Xuebao, 2022 Due to the color deviation, low contrast and fuzzy object in underwater optical images, there are some problems in underwater object detection, such as missed detection and false detection.
ZHANG Yan +3 more
doaj +1 more source
IEEE Access, 2020 Multivariate time series classification (MTSC) is a fundamental and essential research problem in the domain of time series data mining. Recently deep neural networks emerged as an end-to-end solution for MTSC and achieve state-of-the-art results on ...
Xu Cheng +4 more
doaj +1 more source
Self-Supervised Monocular Depth Estimation Based on Channel Attention
Photonics, 2022 Scene structure and local details are important factors in producing high-quality depth estimations so as to solve fuzzy artifacts in depth prediction results.
Bo Tao +4 more
doaj +1 more source
Separable Attention Capsule Network for Signal Classification
IEEE Access, 2020 In this paper, a new Separable Attention Capsule Network (SACN) is proposed for signal classification. SACN is a light-weight network composed of multi-channel separable convolution layer, attention module and classification layer.
Shaoqing Liu +4 more
doaj +1 more source
Multi-Scale Feature Channel Attention Generative Adversarial Network for Face Sketch Synthesis
IEEE Access, 2020 Face sketch synthesis for photos is an applied research topic and it is critical for criminal investigation. However, sketch synthesis remains some challenges because of the blur and artifacts in the generated face sketches. To mitigate these problems in
Jieying Zheng +4 more
doaj +1 more source
Leida xuebao, 2021 Deep-learning technology has enabled remarkable results for ship detection in SAR images. However, in view of the complex and changeable backgrounds of SAR ship images, how to accurately and efficiently extract target features and improve detection ...
Xueke ZHOU, Chang LIU, Bin ZHOU
doaj +1 more source
IEEE Access, 2020 Constrained image splicing detection and localization (CISDL) is a newly formulated image forensics task and plays an important role in verifying the generating process of a forged image.
Yaqi Liu, Xianfeng Zhao
doaj +1 more source
Gradient-Guided and Multi-Scale Feature Network for Image Super-Resolution
Applied Sciences, 2022 Recently, deep-learning-based image super-resolution methods have made remarkable progress. However, most of these methods do not fully exploit the structural feature of the input image, as well as the intermediate features from the intermediate layers ...
Jian Chen +3 more
doaj +1 more source