MAMNet: Multi-path adaptive modulation network for image super-resolution
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.03.069
Abstract: Abstract In recent years, single image super-resolution (SR) methods based on deep convolutional neural networks (CNNs) have made significant progress. However, due to the non-adaptive nature of the convolution operation, they cannot adapt to various… read more here.
Keywords: modulation; path adaptive; adaptive modulation; image super ... See more keywords
Dual-Path Adaptive Channel Attention Network Based on Feature Constraints for Face Anti-Spoofing
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3534906
Abstract: Interference factors in visible light image data, such as backgrounds and lighting, often lead to poor performance of RGB-based single-modality face anti-spoofing methods. To address these limitations, we propose an innovative face anti-spoofing framework. Within… read more here.
Keywords: face anti; adaptive channel; dual path; channel attention ... See more keywords
Dual-Path Adaptive Diffusion Network for Robust Out-of-Tank Ethanol Concentration Prediction in Industrial Fermentation Under Incomplete Data Scenarios
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3629857
Abstract: In batch processes, sensor failures and communication errors usually generate substantial incomplete process data. Effectively using such incomplete data remains a challenge for data-driven modeling of complex batch reaction processes. Existing data-driven approaches typically impute… read more here.
Keywords: incomplete data; dual path; adaptive diffusion; prediction ... See more keywords