Transformers combined with convolutional encoders have been recently used for hand gesture recognition (HGR) using micro-Doppler signatures. In this letter, we propose a vision-transformer-based ...

Vision Intelligence Assisted Lung Function Estimation Based on Transformer Encoder–Decoder Network With Invertible ... plane, with preserving location information in 3-D. Next, the MBConv ...

The study revolves around the development of an automatic image caption generator. A Vision Encoder Decoder Model is used, combining a Vision Transformer (ViT) for image feature extraction and GPT-2 ...

Explore the Vision Transformer model, its importance, architecture, building and training process, and its diverse applications in various fields. The Hackett Group Announces Strategic Acquisition of ...

'transformers.models.vision_encoder_decoder.configuration_vision_encoder_decoder.VisionEncoderDecoderConfig'> #179. Copy link. Description. arain60gb. opened on Sep 12, 2022. Issue body actions.

This article explores some of the most influential deep learning architectures: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), ...