mlsanityData to 7 Oct 2026

Deep Image Orientation Angle Detection

arXiv 2007.06709 ↗First posted 21 Jun 2020cs.CV cs.LG eess.IVcited by 5

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Abstract (arXiv)

Estimating and rectifying the orientation angle of any image is a pretty challenging task. Initial work used the hand engineering features for this purpose, where after the invention of deep learning using convolution-based neural network showed significant improvement in this problem. However, this paper shows that the combination of CNN and a custom loss function specially designed for angles lead to a state-of-the-art results. This includes the estimation of the orientation angle of any image or document at any degree (0 to 360 degree),

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Jun 2020.

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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 1; 2025: 1; 2026: 2.

5 papers.