main 1Branch1Tag Code README Apache-2.0 license [ICIP 2023] Compound Multi-branch Feature Fusion for Image Deraindrop Chi-Mao Fan, Tsung-Jung Liu, Kuan-Hsien Liu Abstract : Image restoration is a challenging and ill-posed problem which also has been a long-standing issue. However, most of...
Compound emotion recognitionCompound facial expression recognitionFacial expression recognitionFeature fusionDeep texture featuresDeep learningMachine learningAction unitiCV-MEFED datasetRecognition of facial expressions is a challenging task in computer vision because of the complexity associated with individual ...
apache / datafusion-sqlparser-rs Public Notifications Fork 546 Star 2.8k New issue Jump to bottom Consolidate MapAccess, and Subscript into CompoundExpr to handle the complex field access chain #1551 Open goldmedal wants to merge 26 commits into apache:main from goldmedal:feature/1533-...
In the attribute embedding fusion module, different attributes are fused through feature permutation by using a multi-head self-attention mechanism in order to capture rich interactions between attributes. In the novel position encoding scheme, we propose RoAR position encoding, which realizes rotational...
In this paper, a recognition method for compound jamming based on a dual-channel neural network and feature fusion is proposed. First, feature images of compound jamming are extracted by the short-time Fourier transform and the wavelet transform. Feature images are then employed as i...
Therefore, this study proposes a new multi-scale feature fusion network architecture named MAR-UNet. In order to solve the defect of insufficient fine granularity of traditional model segmentation results, this paper designs a local feature extraction module named Residual Sampling Convolution block (...
Therefore, in future work, the proposed method would be improved by using multi-channel signal fusion and feature fusion, so that it can identify more fault components via decoupling and achieve better identification performance.Author Contributions Methodology, L.H.; Software, Y.R.; Validation, X...
Multistep prediction of remaining useful life of proton exchange membrane fuel cell based on temporal convolutional network. Int. J. Green Energy 2023, 20, 408–422. [Google Scholar] [CrossRef] Siddique, M.F.; Ahmad, Z.; Ullah, N.; Kim, J. A Hybrid Deep Learning Approach: Integrating ...