Titlebook: Computer Vision – ECCV 2020 Workshops; Glasgow, UK, August Adrien Bartoli,Andrea Fusiello Conference proceedings 2020 Springer Nature Swit

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978-3-030-66095-6Springer Nature Switzerland AG 2020

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Conference proceedings 2020opean Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic..The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings we

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https://doi.org/10.1007/978-3-7908-2078-2nd-stage neural network for sign recognition. Our evaluation shows that our proposed solution compares well in accuracy against the state of the art, providing added benefits of better interpretability and phonologically-meaningful subunits that can operate across different signers and sign languages.

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C4AV: Learning Cross-Modal Representations from Transformersature and the linguistic feature are aggregated in the transformer decoder. A region-of-interest (RoI) alignment is applied to the feature map output from the transformer decoder to crop the RoI features for region proposals. Finally, a multi-layer classifier is used for object referral from the features of proposal regions.

LAIR

Phonologically-Meaningful Subunits for Deep Learning-Based Sign Language Recognitionnd-stage neural network for sign recognition. Our evaluation shows that our proposed solution compares well in accuracy against the state of the art, providing added benefits of better interpretability and phonologically-meaningful subunits that can operate across different signers and sign languages.

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The Economics of Climate Change Policies historical understanding of sign languages within the computer vision community, to foster new collaborations and to identify the most pressing challenges for the field going forwards. The workshop was held in conjunction with the European Conference on Computer Vision (ECCV), 2020.