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Student’s t-Generative Adversarial Networks
Generative Adversarial Networks (GANs) have a great performance in image generation, but they need a large scale of data to train the entire framework, and often result in... -
TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures ...
The TEMGNet framework is proposed for hand gesture recognition from sEMG signals. -
MuraNet: Multi-task Floor Plan Recognition with Relation Attention
The recognition of information in floor plan data requires the use of detection and segmentation models. However, relying on several single-task models can result in ineffective... -
Attend-And-Excite Dataset
The dataset used in the paper is a benchmark dataset created by the authors of the Attend-And-Excite paper. -
DFNet: Discriminative feature extraction and integration network for salient ...
The proposed method for saliency detection task, which is composed of two main modules.