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GitHub1y
GitHub - themnvrao76/Image-Captioning-with-Transformers
MaxVit Encoder: We leverage the MaxVit (Vision Transformer) model from the TIMM (PyTorch Image Models) library as the encoder.It is pre-trained on the ImageNet dataset and serves as a robust feature ...
GitHub2y
itaishufaro/Encoder-Decoder-Image-Captioning: Project for the course Deep Learning 046211 (Technion) - GitHub
Image captioning is the task of generating short sentences that describe the content of an image. The goal of this project is to implement an encoder-decoder network for image captioning. The encoder ...
IEEE9mon
Transformer Encoder-Decoder Mask Reconstruction in Industrial Image Anomaly Localization - IEEE Xplore
Acquiring a substantial amount of high-quality data for industrial image detection poses significant challenges in the field of computer vision. The imbalance between normal and anomalous samples, ...
IEEE9mon
A Comparative Evaluation of Transformer-Based Vision Encoder-Decoder Models for Brazilian Portuguese Image Captioning - IEEE Xplore
Image captioning refers to the process of creating a natural language description for one or more images. This task has several practical applications, from aiding in medical diagnoses through image ...
marktechpost1y
Deep Learning Architectures From CNN, RNN, GAN, and Transformers To Encoder-Decoder Architectures - MarkTechPost
The encoder processes the input data to form a context, which the decoder then uses to produce the output. This architecture is common in both RNN-based and transformer-based models. Attention ...