A Pytorch implementation of the paper 'Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering'
-
Updated
Jan 20, 2020 - Python
A Pytorch implementation of the paper 'Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering'
Get CLIP ViT text tokens about an image, visualize attention as a heatmap.
CLIP GUI - XAI app ~ explainable (and guessable) AI with ViT & ResNet models
Creating word-weighted heatmap's latex script given a list of tokens and attention scores
attention mechanism in keras, like Dense and RNN...
Easy-to-read implementation of self-supervised learning using vision transformer and knowledge distillation with no labels - DINO 😃
Transfer learning pretrained vision transformers for breast histopathology
my codes for learning attention mechanism
🚀 Cross attention map tools for huggingface/diffusers
Lightweight visualization tool for neural attention mechanisms
(ECCV2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks
Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.
Train and visualize Hierarchical Attention Networks
Plot the vector graph of attention based text visualisation
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Add a description, image, and links to the attention-visualization topic page so that developers can more easily learn about it.
To associate your repository with the attention-visualization topic, visit your repo's landing page and select "manage topics."