Skip to content

Knowledge Guided Attention and Inference for Describing Images containing Unseen Visual Object Categories.

Notifications You must be signed in to change notification settings

adityamogadala/KGA

Repository files navigation

Purpose

Facilitate image caption generation of unseen visual object categories (MSCOCO datasets) with knowledge guided attention mechanism.

Dependencies

Keras 2.0.8 Theano 0.9.0.dev

Installation Instructions

  1. git clone https://github.com/adityamogadala/KGA.git
  2. Caption Model Training - kga_caption_model.py
  3. Language Model Training - language_model.py
  4. Generation of Image Captions (Greedy) - kga_greedy_inference.py
  5. Generation of Image Captions (Beam) - kga_beam_inference.py

Citation

Aditya Mogadala, Umanga Bista, Lexing Xie, Achim Rettinger. In 15th Extended Semantic Web Conference (ESWC). Springer International Publishing. (2018)

About

Knowledge Guided Attention and Inference for Describing Images containing Unseen Visual Object Categories.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Languages