Dual-branch Attention-In-Attention Transformer for single-channel speech enhancement 2 年前 长得省流量 死肥宅关注Task 任务是语音增强。 Motivation 在语音增强领域,最近课程式学习的研究开始兴起。课程式学习其实就是就是把单个比较复杂的任务分解成多个子任务,让机器分阶段来解决学习这些子任务。也就是所谓的多...
This attention region significantly improves the performance of CNN by introducing an attention mechanism that focuses on a specific region in an image. In this work, we propose Attention Branch Network (ABN), which extends a response-based visual explanation model by introducing a branch structure ...
To this end, a Multi-Branch Attention Network (MBA-Net) is proposed to achieve multi-level refinement of features through an end-to-end multi-branch framework with attention mechanisms. Specifically, we first achieve preliminary feature refinement through a backbone network with a non-local ...
This region significantly improves the performance of CNN by introducing an attention mechanism that focuses on a specific region in an image. In this work, we propose Attention Branch Network (ABN), which extends the top-down visual explanation model by introducing a branch structure with an ...
{Deeply Supervised Skin Lesions Diagnosis With Stage and Branch Attention}, year={2024}, volume={28}, number={2}, pages={719-729}, keywords={Skin;Lesions;Feature extraction;Convolution;Transformers;Training;Computational modeling;Attention;deep supervision;disease classification;skin lesion;vision ...
Research Question Can artificial intelligence (AI) improve the prediction of live births based on embryo images? Design The AI system was created by using the Attention Branch Network associated with deep learning to predict the probability of live birth from 141,444 images recorded by time-lapse ...
Li R, Zheng S, Duan C, et al. Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network[J]. Remote Sensing, 2020, 12(3): 582. Requirements: numpy >= 1.16.5 PyTorch >= 1.3.1 sklearn >= 0.20.4 ...
Person Re-identification (Re-ID) is to match the images of the given person across multiple non-overlapping cameras. To solve the problems of occlusions and unconstrained poses, we propose a multi-branch cooperative network for person Re-ID. First, attention branch and multi-scale branch are de...
Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks For intelligent transportation systems (ITS), predicting urban traffic crowd flows is of great importance. However, it is challenging to represent various ... A Ali,Y Zhu,M Zakarya...
Yu et al.26 introduced an anchor-free network with a channel attention mechanism (CAM) attention mechanism and Complete-IoU (CIoU) loss function, achieving an average accuracy of 76.68% on a hot-rolled steel surface defect dataset. However, anchor-free defect detectors, such as FCOS, still ...