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Dual Attention GANs for Semantic Image Synthesis
The Dual Attention GANs for semantic image synthesis -
Aaren: Efficient Attention for Sequence Modeling
The dataset used in the paper is a collection of 38 datasets spread across four popular sequential problem settings: reinforcement learning, event forecasting, time series... -
Continuum Attention for Neural Operators
The dataset is not explicitly described in the paper, but it is mentioned that the authors used it to train and test their neural operator architectures. -
SPANet: Salient Positions-based Attention Network for Image Classification
The proposed SPANet selectively gathers contextual information from the salient positions in the low level and stops the error drift between network layers. -
TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures ...
The TEMGNet framework is proposed for hand gesture recognition from sEMG signals. -
Attend-And-Excite Dataset
The dataset used in the paper is a benchmark dataset created by the authors of the Attend-And-Excite paper.