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GitHub2mon
Image-Captioning-with-Encoder-Decoder-Architecture-Using-Deep-Learning
The model leverages the Inception v3 pre-trained model for feature extraction from images and an LSTM-based decoder to generate captions. The architecture follows an encoder-decoder structure where ...
University of Waterloo2y
Quantile-Based Encoder-Decoder Deep Learning Models for Multi-Step Ahead Hydrological Forecasting | Dr. John M. Quilty - University of Waterloo
Quantile-Based Encoder-Decoder Deep Learning Models for Multi-Step Ahead Hydrological Forecasting [Conference presentation]. American Geophysical Union (AGU) Fall Meeting 2022, Online. Recent ...
IEEE2y
Encoder Decoder Based Deep Learning Architecture For Video Scene Parsing - IEEE Xplore
Encoder Decoder Based Deep Learning Architecture For Video Scene Parsing Abstract: Due to its use in a variety of fields, including autonomous driving, robot navigation, ... (VGG16 and VGG19) ...
marktechpost1y
Deep Learning Architectures From CNN, RNN, GAN, and Transformers To Encoder-Decoder Architectures - MarkTechPost
This article explores some of the most influential deep learning architectures: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), ...
IEEE2y
Encoder Decoder Based Deep Learning Architecture For Video Scene Parsing - IEEE Xplore
Due to its use in a variety of fields, including autonomous driving, robot navigation, remote sensing, medical research, agriculture etc.,In recent years, video scene parsing (VSP) has become ...