Transformers combined with convolutional encoders have been recently used for hand gesture recognition (HGR) using micro-Doppler signatures. In this letter, we propose a vision-transformer-based ...

But not all transformer applications require both the encoder and decoder module. For example, the GPT family of large language models uses stacks of decoder modules to generate text.

The transformer’s encoder doesn’t just send a final step of encoding to the decoder; it transmits all hidden states and encodings. This rich information allows the decoder to apply attention ...

Based on the vanilla Transformer model, the encoder-decoder architecture consists of two stacks: an encoder and a decoder. The encoder uses stacked multi-head self-attention layers to encode the input ...

Figure 1: (a) In the architecture Encoder-Decoder, the input sequence is first encoded into a state vector, which is then used to decode the output sequence (b) A transformer layer, encoder and ...

An overview of FPPformer’s hierarchical architecture with two-stage encoder and two-stage decoder. Different from the vanilla one, the encoder owns bottom-up structure while the decoder owns top-down ...

Predictive Process Monitoring (PPM) in Process Mining (PM) uses predictive analytics to forecast business process progression. A key challenge is suffix prediction, forecasting future event sequences ...