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GitHub4y
Image Captioning using CNN+RNN Encoder-Decoder Architecture in PyTorch - GitHub
A decoder is a long short-term memory (LSTM) layer that will generate a caption for an image. To build a simple model, we can just pass the encoder embedding as input to the LSTM. However, this could ...
GitHub1y
GitHub - LaurentVeyssier/Image-Captioning-Project-with-full-Encoder-Decoder-model: Generate caption on images using CNN Encoder- LSTM Decoder structure
Generate caption on images using CNN Encoder- LSTM Decoder structure. This project is the second project of Udacity's Computer Vision Nanodegree and combines computer vision and machine translation ...
marktechpost1y
Deep Learning Architectures From CNN, RNN, GAN, and Transformers To Encoder-Decoder Architectures - MarkTechPost
CNNs excel in handling grid-like data such as images, RNNs are unparalleled in their ability to process sequential data, GANs offer remarkable capabilities in generating new data samples, Transformers ...
IEEE1y
Hybrid CNN and Transformer Network for Semantic Segmentation of UAV Remote Sensing Images - IEEE Xplore
The proposed network follows an encoder–decoder architecture that merges a transformer-based encoder with a CNN-based decoder. First, we incorporate the Swin transformer as the encoder to address the ...
IEEE5y
AUTODEPTH: Single Image Depth Map Estimation via Residual CNN Encoder-Decoder and Stacked Hourglass - IEEE Xplore
We address the task of estimating depth from a single intensity image via a novel convolutional neural network (CNN) encoder-decoder architecture, which learns the depth information using example ...