Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
PyTorch implementation of Image captioning with Bottom-up, Top-down Attention
Image caption generation to diagnose chest x-rays using dataset of images and reports
Weakly Supervised Learning for Findings Detection in Medical Images
Caffe implementation of paper: "Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering"
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
This Repo contains the updated implementation of our paper "Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features", Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 1131408 (16 March 2020)
Important papers on the automatic generation of radiology reports from medical images
