The novel attention module named spatio-temporal-channel (STC) attention is designed to jointly learn weights in spatial, temporal, and channel dimensions in a more efficient way. Extensive experiments have been conducted on two uncompressed datasets and one compressed dataset. Results show that AST...
[TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks" - ridgerchu/TCJA
Considering the emotional response mechanisms of different brain regions and the multi-channel and spatial characteristics of EEG signals, we introduce a channel spatio-temporal joint attention mechanism and embed it into the deep convolutional network structure built with residual blocks, achieving an ...
The architecture of MTS-Mixers comprises modules in a dashed box which defines a general framework with k-stacked blocks for capturing temporal and channel interaction. Three specific implementations are presented, which utilize attention, random matrix, or factorized MLP to capture temporal and channel...
Hierarchical question-image co-attention for visual question answering Advances in Neural Information Processing Systems (2016), pp. 289-297 CrossrefView in ScopusGoogle Scholar [43] A. Graves, A.-r. Mohamed, G. Hinton Speech recognition with deep recurrent neural networks 2013 IEEE International ...
On the air (OTA) measurement has attracted attention as a method for evaluating MIMO user equipment (UE), and represents a promising candidate for the LTE and IMT-advanced systems. Moreover, we have to simulate spatiotemporal dynamic channel properties in the OTA measurement systems to evaluate ...
In temporal branch, It is equipped with a Motion Attention Module (MA), which is used to enhance the motion regions in a given video. Then, we introduced a Spatial-Temporal Channel Attention (STCA) module, which could aggregate spatial-temporal features of each block channel-wisely in a ...
Furthermore, for the problem of spatiotemporal feature fusion, the PFFF module performs the recalibration and fusion of spatial and temporal features by a soft attention mechanism, without introducing extra parameters, thus ensuring the correct network information flow effectively. Finally, extensive ...
In recent years, the combination of pulsating flow and surface structures has gained increasing attention. Most of the published studies focused on sinusoidal pulsation profiles. Jin et al. [14] experimentally explored the thermal performance of a single-sided triangularly grooved channel. A maximum ...
Key Designs 1. Overall Framework The architecture of MTS-Mixers comprises modules in a dashed box which defines a general framework with k-stacked blocks for capturing temporal and channel interaction. Three specific implementations are presented, which utilize attention, random matrix, or factorized ML...