Analyzing "Visual Programming: Compositional Visual Reasoning Without Training
Introduction The paper "Visual Programming: Compositional Visual Reasoning Without Training" by Tanmay Gupta and Aniruddha Kembhavi introduces VISPROG, a neuro-symbolic system designed for complex and compositional visual reasoning tasks. Unlike traditional AI systems that require extensive task-specific training, VISPROG leverages the in-context learning capabilities of large language models like GPT-3 to generate modular programs from natural language instructions, providing a novel approach to tackling a wide range of visual tasks. Overview of VISPROG VISPROG is a modular system that uses a few examples of natural language instructions and high-level programs to generate executable programs for new instructions. These programs are then executed on input images to obtain solutions and comprehensive, interpretable rationales. Each line of the generated program can invoke various off-the-shelf computer vision models, image processing subroutines, or Python functions, produc...