# Viewpoint Estimation-Insights & Model

arXiv: https://arxiv.org/abs/1807.01312 · HTML: https://mlsanity.com/paper/1807.01312/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 3 Jul 2018.

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

- [Accidental Turntables: Learning 3D Pose by Watching Objects Turn](https://mlsanity.com/paper/2212.06300/) (2022)

## Abstract (arXiv)

This paper addresses the problem of viewpoint estimation of an object in a given image. It presents five key insights that should be taken into consideration when designing a CNN that solves the problem. Based on these insights, the paper proposes a network in which (i) The architecture jointly solves detection, classification, and viewpoint estimation. (ii) New types of data are added and trained on. (iii) A novel loss function, which takes into account both the geometry of the problem and the new types of data, is propose. Our network improves the state-of-the-art results for this problem by 9.8%.