… encoder-decoder network model for Acoustic Scene Classification (ASC), the task of identifying
the scene … a well-trained CNN-DNN front-end encoder. The high-level features and their …

… utilized to encode complicatY ed scene utterances into … an encoder/decoder architecY ture
to learn the acoustic scene to … layers in the encoding proY cess. This makes it easier for the …

… on the scene classification task of … -encoder has an encoder and an decoder where the
encoder maps the input image I to a sequence of discrete latent variables and the decoder recon…

… scene classification by covering more than 160 papers. To be specific, we discuss the main
challenges of remote sensing image scene classification … units—encoder and decoder. The …

… scene classification. More specifically, we learn a semantic autoencoder for seen scene
classes… autoencoder following an encoder–decoder approach: 1) the encoder projects the visual …

… MODEL FRAMEWORK The scene text recognition framework in this paper includes the
Encoder-Decoder process. The scene image to be recognized first extracts the feature sequence …

… between the input data at the encoding layer and its reconstruction at the decoding layer.
The number of nodes in the encoding layer is equal to that of the decoding layer. To reduce the …

… represent the scene text image. Combining with deconvolution technique, … encoderdecoder
network (B-CEDNet) for real-time one-shot character detection and recognition. The scene …

… , titled Encoder-decoder-based CNN for Road-Scene Understanding (ECRU). Lately, scene
… The proposed model is an encoder-decoder that performs pixel-wise class predictions. The …

… This article proposes a novel approach for LU scene classification based on deep learning
(… AE is made up of encoding and decoding parts, respectively. In the encoding part, the input …