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Part of the book series: Springer Tracts in Advanced Robotics ((STAR,volume 135))

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Abstract

Our progress beyond the state-of-the-art, future solutions for open research issues as well as a summary of our contributions and experimental results.

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Notes

  1. 1.

    A scene category stems from object configurations that are assigned with the same label.

  2. 2.

    While variations of scenes consist of the same objects being placed differently, alternatives differ with respect to their composition, i.e. the object they include.

  3. 3.

    Unknown objects are such that have been detected by object localization but are not part of the scene category which is an object of scene recognition.

  4. 4.

    Experiment 3 in mission 1.

References

  1. Siciliano, B., Khatib, O.: Springer Handbook of Robotics. Springer Science + Business Media, Berlin (2008)

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  2. Wixson, L.E., Ballard, D.H.: Using intermediate objects to improve the efficiency of visual search. Int. J. Comput. Vis. 12(2–3), 209–230 (1994)

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Correspondence to Pascal Meißner .

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Meißner, P. (2020). Summary. In: Indoor Scene Recognition by 3-D Object Search. Springer Tracts in Advanced Robotics, vol 135. Springer, Cham. https://doi.org/10.1007/978-3-030-31852-9_6

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