iPIC-XAI: Improving PIC-XAI for Enhanced Image Captioning Explanation

Code

• github.com/modafarshouha/PIC-XAI
  pytorch★ 1

Abstract

Image captioning task with its complexity has taken advantage of the recent developments in Deep learning (DL). However, DL-models are fundamentally abstruse and explaining their behaviour is a challenge. In this paper we present an algorithm to explain an image captioning model behavior. We enhanced PIC-XAI performance by introducing various components; (1) we utilize CLIP multimodal similarity for more efficiency, (2) we consider the query dependency tag as a clue for elements with bigger size, (3) we provide an algorithm to automatically set the preprocessing blurring kernel size, and (4) we use a similarity comparison technique to get more relevant answers. Additionally, we provide an improved version of XIC metric, aiming for more consistent objective evaluation for XAI methods in image captioning field.

Tasks

Reproductions