WebIn recent years, neural networks based on attention mechanisms have seen increasingly use in speech recognition, separation, and enhancement, as well as other fields. In particular, the convolution-augmented transformer has performed well, as it can combine the advantages of convolution and self-attention. Recently, the gated attention unit (GAU) was proposed. … WebApr 14, 2024 · Environmental problems, including air pollution, have upset the balance between the environment and economic development. In the face of worsening air pollution, growing attention is being paid to the role of financial institutions. To investigate how finance affects air pollution, this study used data from 30 Chinese provinces from …
Robust Attentive Deep Neural Network for Detecting …
WebApr 12, 2024 · Towards Robust Tampered Text Detection in Document Image: New dataset and New Solution ... Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion Yushi LAN · Xuyi Meng · Shuai Yang · CHEN CHANGE LOY · Bo Dai ... COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning WebRobust Clustering Model Based on Attention Mechanism and Graph Convolutional Network. Abstract: GCN-based clustering schemes cannot interactively fuse feature information of … resonate architects
Adversarial joint training with self-attention mechanism for robust …
WebJan 5, 2024 · Recently, convolutional neural network has achieved a lot of attention for image dehazing tasks. Many deep learning-based methods can solve the homogeneous dehazing problems well. However, even if a well-designed convolutional neural network (CNN) can perform well on large-scaled dehazing benchmarks, it usually fails in the non … WebNov 1, 2024 · Generative Adversarial Networks (GANs) have been commonly exploited for Data Augmentation (DA), along with image SR 9, thanks to their ability to improve feature robustness. Sandfort et al. 10 used... WebIn this work, we propose a robust GAN based on the attention mechanism, which uses the deep latent features of the original image as prior knowledge to generate adversarial … protolith definition