3 天前 - … proposed in this study, which was inspired by YOLOv5 deep learning framework.
Specifically, the Tanh-aided Channel Attention (TCA) and C3TCA modules were designed …

4 天前 - … existing traditional and deep learning-based methods. The source code is publicly
available … of our method compared to existing traditional and deep learning-based methods. …

4 天前 - … directional feature extraction by deep learning. Therefore, an X-ray … by learning
the attention weights of the convolution kernels in four dimensions: input channel, output channel…

5 天前 - … deep learning (DL)-driven JSCC compared to traditional separate source and channel
coding. … and the traditional separate source and channel coding problem lies in our focus …

6 天前 - … Currently, deep learning models have been widely … Nonetheless, the performance
of these deep learning models … perform linear transformation to each color channel of x . (2) R …

7 天前 - … model based on deep learning integrated with quantum … are further machine
learning strategies for dealing with … in single-channel settings, multi-channel fibre nonlinearity …

7 天前 - … the independent operations of channel-wise recalibration. … tensor for aggregating
the global channel information. An … an effective alternative of the channel-wise component in …

7 天前 - … Furthermore, we propose a model-assisted adaptive coding … in the channel
statistics because it will learn different … Jin, and GY Li, “Overview of deep learningbased CSI …

8 天前 - … With the success of deep learning, a dramatic change is … below is limited to a single
channel of an image but can be … When SDQ is activated, we will test the SDQ coding when …

11 天前 - … , numerous deep learning based … channel-wise summary of global information.
Secondly, the squeezed features are reshaped back to their original form. This adaptive channel-…