Efficient Labelling of Affective Video Datasets via Few-Shot & Multi-Task Contrastive Learning-Reference-Cited by-同舟云学术

Efficient Labelling of Affective Video Datasets via Few-Shot & Multi-Task Contrastive Learning

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Parameshwara Ravikiran¹^ORCID,Radwan Ibrahim¹^ORCID,Asthana Akshay²^ORCID,Abbasnejad Iman³^ORCID,Subramanian Ramanathan¹^ORCID,Goecke Roland¹^ORCID

Affiliation:

1. University of Canberra, Canberra, ACT, Australia

2. Seeing Machines Ltd., Canberra, ACT, China

3. Seeing Machines Ltd., Canberra, ACT, Australia

Funder

Australian Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3613784

Reference61 articles.

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4. Gender and emotion recognition with implicit user signals

5. How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks)

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