MobilityEncoder-decoderSelf attentionTime seriesDeep learningPoints of interestRegions of interestMultistep Human Density Prediction (MHDP) is an emerging challenge in urban mobility with lots of applications in
Attention-based Encoder-Decoder 模式在机器翻译和语音识别领域都有很好的效果,而这篇论文则是将Attention-based Encoder-Decoder模式应用在SlotFilling和IntentDetection任务上,并创建联合模型来提升鲁棒性,并达到了state-of-the-art的效果。 这里需要注意的一点就是,在SlotFilling中,预测序列标注是和文本序列对齐,长度一...
Transformer 是为了解决机器翻译任务而提出。机器翻译是一个历史悠久的问题,可以理解为序列转序列问题,也就是我们常说的 seq2seq 结构,解决这类问题一般是采用 encoder-decoder 结构,Transformer 也沿用了这种结构。翻译任务一个常规的解决方案如下所示: 对应到 Transformer 中的一个更具体的结构为: 主要包括编码器和...
Transformer 是为了解决机器翻译任务而提出。机器翻译是一个历史悠久的问题,可以理解为序列转序列问题,也就是我们常说的 seq2seq 结构,解决这类问题一般是采用 encoder-decoder 结构,Transformer 也沿用了这种结构。翻译任务一个常规的解决方案如下所示: 对应到 Transformer 中的一个更具体的结构为: 主要包括编码器和...
A novel two-step attention decoder is presented to improve the accuracy of recognition results. convolutional block attention module (CBAM) reweights the visual features from the CNN and the semantic features computed by the encoder to improve model performance; long short-term memory attention (...
System combination Hybrid DNN-HMM systems Attention-based encoder–decoder models Lattice rescore 1. Introduction Automatic speech recognition (ASR) is the task that converts a speech sequence to its corresponding text sequence. There are broadly two commonly used approaches. One is the classical syste...
To solve the above problems, we propose an end-to-end Attention-based Encoder-Decoder Network (AEDNet) which is capable to effectively remove haze while preserving image details well. AEDNet employs a novel channel shuffle attention mechanism to adaptively adjust the weight of each channel-wise ...
Transformer 是为了解决机器翻译任务而提出。机器翻译是一个历史悠久的问题,可以理解为序列转序列问题,也就是我们常说的 seq2seq 结构,解决这类问题一般是采用 encoder-decoder 结构,Transformer 也沿用了这种结构。翻译任务一个常规的解决方案如下所示: 对应到 Transformer 中的一个更具体的结构为: ...
(BE-DICT bystander module—Fig.5a). The model is based on an encoder–decoder architecture (adapting the Transformer architecture used in the BE-DICT per-base model), which takes a sequence of nucleotides of the protospacer as input, and computes the probability of the different output sequence...
Ji Z, Xiong K, Pang Y, Li X (2019) Video summarization with attention-based encoder-decoder networks. IEEE Trans Circuits Syst Video Technol (TCSVT) 30(6):1709–1717 Article Google Scholar Li W, Zhu X, Gong S (2018) Harmonious attention network for person re-identification. In: Proceed...