FmCFA: a feature matching method for critical feature attention in multimodal images
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-90955-8
Abstract: Multimodal image feature matching is a critical technique in computer vision. However, many current methods rely on extensive attention interactions, which can lead to the inclusion of irrelevant information from non-critical regions, introducing noise and… read more here.
Keywords: multimodal images; attention; feature matching; feature ... See more keywords
Feature Attention Distillation Defense for Backdoor Attack in Artificial-Neural-Network-Based Electricity Theft Detection
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3451449
Abstract: Artificial neural networks (ANNs) have been widely used for tasks like electricity theft detection (ETD) in smart meters. However, due to the subtle mechanisms and inherent opaque characteristics, ANNs are vulnerable to attacks. Although this… read more here.
Keywords: electricity theft; electricity; theft detection; artificial neural ... See more keywords
Feature-Attention-Mechanism-Based Attack for Deep Robust Watermarking
Sign Up to like & getrecommendations! Published in 2025 at "IEEE MultiMedia"
DOI: 10.1109/mmul.2024.3498856
Abstract: Currently, deep neural networks have made significant progress in the attack of watermark removal. However, some challenges still exist, such as how to improve attack effectiveness while reducing the impact on image quality. In this… read more here.
Keywords: robust watermarking; attention; attention mechanism; mechanism based ... See more keywords
Cloud Detection Method Using CNN Based on Cascaded Feature Attention and Channel Attention
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3120752
Abstract: Cloud detection is of great significance for the subsequent analysis and application of remote sensing images, and it is a critical part of remote sensing image preprocessing. In this paper, we propose a cloud detection… read more here.
Keywords: feature; feature attention; cloud detection; attention ... See more keywords
Dual-Feature Attention-Based Contrastive Prototypical Clustering for Multimodal Remote Sensing Data
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3492500
Abstract: The integrated use of multisource remote sensing (RS) data in Earth observation missions has garnered considerable attention. Hyperspectral images (HSIs) offer extensive spatial and spectral detail, whereas light detection and ranging (LiDAR) data provide elevation… read more here.
Keywords: attention; remote sensing; dual feature; feature ... See more keywords
M-FANet: Multi-Feature Attention Convolutional Neural Network for Motor Imagery Decoding
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2024.3351863
Abstract: Motor imagery (MI) decoding methods are pivotal in advancing rehabilitation and motor control research. Effective extraction of spectral-spatial-temporal features is crucial for MI decoding from limited and low signal-to-noise ratio electroencephalogram (EEG) signal samples based… read more here.
Keywords: feature; motor; multi feature; feature attention ... See more keywords