In this paper, a multi-level-attention embedding and multi-layer-feature fusion (MEMF) model is proposed for person re-ID. Specifically, a novel backbone network is designed, in which multi-level-attention blocks are embedded into a multi-layer-feature fusion architecture. Multi-level-attention ...
Class Activation Map Generation by Representative Class Selection and Multi-Layer Feature Fusion 来自 Semantic Scholar 喜欢 0 阅读量: 191 作者:F Meng,K Huang,H Li,Q Wu 摘要: Existing method generates class activation map (CAM) by a set of fixed classes (i.e., using all the classes), ...
摘要 Multi-layer feature fusion is a very important strategy for semantic segmentation, as a single-layer feature is usual... 出版源 Springer US , 2020 , 51 (2) :1081-1092 收藏 全部来源 免费下载 求助全文 Springer ResearchG...
MMFuser is designed for Multi-modal Multi-layer feature fusion, which can enhance vision representation of MLLMs. The features from the last few layers of CLIP, while aligned with text, lack detailed information. In contrast, the output features from the shallow and intermediate layers contain ...
EEG motor imagery classification; Deep learning; Convolution neural network; Multi-layer CNNs feature fusion; 机译:脑电运动图像分类;深度学习;卷积神经网络多层CNN特征融合; 入库时间 2022-08-18 05:01:13 相似文献 外文文献 中文文献 专利 1. Multiscale space-time-frequency feature-guided mu...
A method and system for domain adaptation based on multi-layer fusion in a convolutional neural network architecture for feature extraction and a two-step training and fine-tuning scheme. The architecture concatenates features extracted at different depths of the network to form a fully connected laye...
Most previous approaches only explore the last layers of multiple layer feature fusion while omitting the importance of intermediate layers. To solve the issue for the intermediate layers, we propose an efficient Quaternion Block Network (QBN) to learn interaction not only for the last layer but ...
Temporal convolution networkDouble pyramidFeature fusion mechanismThe application of time-series prediction is very extensive,\nand it is an important problem ... N Wang,X Zhao - 《Ieice Transactions on Fundamentals of Electronics Communications & Computer Sciences》 被引量: 0发表: 2023年 Traffic Flo...
Hence, this article proposes an online video recognition method rooted in convolutional multi-layer feature fusion and DFC. This method involves (1) training the LeNet-5 network using flame images collected on-site to extract deep flame features; (2) employing an adaptive fusion method based on...
It consists of three parts: multi-scale feature extraction, multi-layer feature fusion and classification. In terms of multi-scale feature extraction, the combination of convolution and attention mechanism is used to extract richer shallow feature information. In multi-layer feature fusion, the ...