# Diptychs of human and machine perceptions

arXiv: https://arxiv.org/abs/2010.13864 · HTML: https://mlsanity.com/paper/2010.13864/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Oct 2020.

## Built on by (most cited first, 1 of 1)

- [From Weakly Supervised Learning to Active Learning](https://mlsanity.com/paper/2209.11629/) (2022)

## Abstract (arXiv)

We propose visual creations that put differences in algorithms and humans perceptions into perspective. We exploit saliency maps of neural networks and visual focus of humans to create diptychs that are reinterpretations of an original image according to both machine and human attentions. Using those diptychs as a qualitative evaluation of perception, we discuss some crucial issues of current textittask-oriented artificial intelligence.