Search Results for author: Sina Moayed Baharlou

Found 3 papers, 1 papers with code

Improving Scene Graph Classification by Exploiting Knowledge from Texts

no code implementations9 Feb 2021 Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp

We show that by fine-tuning the classification pipeline with the extracted knowledge from texts, we can achieve ~8x more accurate results in scene graph classification, ~3x in object classification, and ~1. 5x in predicate classification, compared to the supervised baselines with only 1% of the annotated images.

Classification General Classification +8

Classification by Attention: Scene Graph Classification with Prior Knowledge

no code implementations19 Nov 2020 Sahand Sharifzadeh, Sina Moayed Baharlou, Volker Tresp

A major challenge in scene graph classification is that the appearance of objects and relations can be significantly different from one image to another.

Classification General Classification +5

Improving Visual Relation Detection using Depth Maps

1 code implementation2 May 2019 Sahand Sharifzadeh, Sina Moayed Baharlou, Max Berrendorf, Rajat Koner, Volker Tresp

We argue that depth maps can additionally provide valuable information on object relations, e. g. helping to detect not only spatial relations, such as standing behind, but also non-spatial relations, such as holding.

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