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GitHub2mon
Image-Captioning-with-Encoder-Decoder-Architecture-Using-Deep-Learning
This project implements an Image Captioning model using a CNN-RNN architecture in PyTorch. The model leverages the Inception v3 pre-trained model for feature extraction from images and an LSTM-based ...
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, ... To enhance the precision of the performance ...
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), ...
GitHub1y
hazeclear /docs /encoder-decoder-architecture - GitHub
The Encoder-Decoder architecture is a prevalent design in deep learning, especially for tasks like image-to-image translation, which includes use-cases such as image dehazing, segmentation, and ...
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) ...