Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation

Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, Jose M. Alvarez

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    36 Citations (Scopus)

    Abstract

    Pixel-level annotations are expensive and timeconsuming to obtain. Hence, weak supervision using only image tags could have a significant impact in semantic segmentation. Recent years have seen great progress in weakly-supervised semantic segmentation, whether from a single image or from videos. However, most existing methods are designed to handle a single background class. In practical applications, such as autonomous navigation, it is often crucial to reason about multiple background classes. In this paper, we introduce an approach to doing so by making use of classifier heatmaps. We then develop a two-stream deep architecture that jointly leverages appearance and motion, and design a loss based on our heatmaps to train it. Our experiments demonstrate the benefits of our classifier heatmaps and of our two-stream architecture on challenging urban scene datasets and on the YouTube-Objects benchmark, where we obtain state-of-the-art results.

    Original languageEnglish
    Title of host publicationProceedings - 2017 IEEE International Conference on Computer Vision, ICCV 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages2125-2135
    Number of pages11
    ISBN (Electronic)9781538610329
    DOIs
    Publication statusPublished - 22 Dec 2017
    Event16th IEEE International Conference on Computer Vision, ICCV 2017 - Venice, Italy
    Duration: 22 Oct 201729 Oct 2017

    Publication series

    NameProceedings of the IEEE International Conference on Computer Vision
    Volume2017-October
    ISSN (Print)1550-5499

    Conference

    Conference16th IEEE International Conference on Computer Vision, ICCV 2017
    Country/TerritoryItaly
    CityVenice
    Period22/10/1729/10/17

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