Results 1 to 10 of about 485,564 (300)
Semi-Supervised Instance-Segmentation Model for Feature Transfer Based on Category Attention [PDF]
Sensors, 2022 In the task of image instance segmentation, semi-supervised instance segmentation algorithms have received constant research attention over recent years.
Hao Wang +7 more
doaj +2 more sources
Attention and feature transfer based knowledge distillation [PDF]
Scientific Reports, 2023 Existing knowledge distillation (KD) methods are mainly based on features, logic, or attention, where features and logic represent the results of reasoning at different stages of a convolutional neural network, and attention maps symbolize the reasoning ...
Guoliang Yang +3 more
doaj +2 more sources
Transfer Learning in Hierarchical Feature Spaces [PDF]
2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2015 Transfer learning provides an approach to solve target tasks more quickly and effectively by using previously acquired knowledge learned from source tasks. As one category of transfer learning approaches, feature-based transfer learning approaches aim to find a latent feature space shared between source and target domains.
Hua Zuo +4 more
openaire +3 more sources
Attention-based speech feature transfer between speakers [PDF]
Frontiers in Artificial IntelligenceIn this study, we propose a simple yet effective method for incorporating the source speaker's characteristics in the target speaker's speech. This allows our model to generate the speech of the target speaker with the style of the source speaker.
Hangbok Lee, Minjae Cho, Hyuk-Yoon Kwon
doaj +2 more sources
Joint Feature-Space and Sample-Space Based Heterogeneous Feature Transfer Method for Object Recognition Using Remote Sensing Images with Different Spatial Resolutions [PDF]
Sensors, 2021 To improve the classification results of high-resolution remote sensing images (RSIs), it is necessary to use feature transfer methods to mine the relevant information between high-resolution RSIs and low-resolution RSIs to train the classifiers together.
Wei Hu +7 more
doaj +2 more sources
Feature-Supervised Action Modality Transfer [PDF]
2020 25th International Conference on Pattern Recognition (ICPR), 2021 This paper strives for action recognition and detection in video modalities like RGB, depth maps or 3D-skeleton sequences when only limited modality-specific labeled examples are available. For the RGB, and derived optical-flow, modality many large-scale labeled datasets have been made available.
Thoker, F.M., Snoek, C.G.M.
openaire +7 more sources
Transfer Learning Based Data Feature Transfer for Fault Diagnosis [PDF]
IEEE Access, 2020 The development of sensor technology provides massive data for data-driven fault diagnosis. In recent years, more and more scholars are studying artificial intelligence technology to solve the bottleneck in fault diagnosis.
Wei Xu, Yi Wan, Tian-Yu Zuo, Xin-Mei Sha
doaj +2 more sources
Transfer Learning Oriented Text Feature Alignment Algorithm [PDF]
Jisuanji gongcheng, 2017 The inconsistency between source domain and target domain feature spaces results in accuracy decline of transfer learning.To resolve this problem,this paper proposes a different domain feature alignment method based on Word2Vec.Adjectives,adverbs,nouns ...
WEI Xiaocong,LIN Hongfei
doaj +3 more sources
Understanding How Feature Structure Transfers in Transfer Learning [PDF]
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017 Transfer learning transfers knowledge across domains to improve the learning performance. Since feature structures generally represent the common knowledge across different domains, they can be transferred successfully even though the labeling functions across domains differ arbitrarily.
Tongliang Liu +2 more
openaire +3 more sources
IEEE Access, 2020 Detecting the frequency of the pest occurrence is always a time consuming and laborious task for agriculture. This paper attempts to solve the problem through the combination of deep learning and pest detection.
Yuh-Shyan Chen +2 more
doaj +3 more sources