Feature transfer based adversarial domain adaptation method for cross-domain road extraction
Sign Up to like & getrecommendations! Published in 2020 at "Geocarto International"
DOI: 10.1080/10106049.2020.1753819
Abstract: In order to improve the cross-domain applicability of road segmentation, a feature transfer based adversarial domain adaptation method is presented for cross-domain road extraction. The presented m... read more here.
Keywords: cross domain; road; domain; feature transfer ... See more keywords
An Entire-and-Partial Feature Transfer Learning Approach for Detecting the Frequency of Pest Occurrence
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2992520
Abstract: 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. We propose… read more here.
Keywords: feature transfer; feature; detecting frequency; transfer learning ... See more keywords
Condition Monitoring of Wind Turbine Generators Based on SCADA Data and Feature Transfer Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3240306
Abstract: In order to build an effective condition monitoring (CM) model for the target wind turbines (WTs) with few operational data, an approach based on the feature transfer learning and a modified generative adversarial network is… read more here.
Keywords: condition monitoring; feature transfer; transfer; transfer learning ... See more keywords
DeepPoison: Feature Transfer Based Stealthy Poisoning Attack for DNNs
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2021.3060896
Abstract: Deep neural networks are susceptible to poisoning attacks by purposely polluted training data with specific triggers. As existing episodes mainly focused on attack success rate with patch-based samples, defense algorithms can easily detect these poisoning… read more here.
Keywords: deeppoison; transfer based; feature transfer; deeppoison feature ... See more keywords
Adaptive Fusion Feature Transfer Learning Method For NILM
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3269105
Abstract: Noninvasive load monitoring (NILM) aims to extract the power consumption of individual appliances from a smart meter that measures the total power consumption of all appliances. At present, deep learning methods have achieved leading results.… read more here.
Keywords: feature transfer; transfer; transfer learning; adaptive fusion ... See more keywords