Web: http://arxiv.org/abs/2209.10448

Sept. 22, 2022, 1:14 a.m. | Nhat Le, Khanh Nguyen, Quang Tran, Erman Tjiputra, Bac Le, Anh Nguyen

cs.CV updates on arXiv.org arxiv.org

Despite significant progress over the past few years, ambiguity is still a
key challenge in Facial Expression Recognition (FER). It can lead to noisy and
inconsistent annotation, which hinders the performance of deep learning models
in real-world scenarios. In this paper, we propose a new uncertainty-aware
label distribution learning method to improve the robustness of deep models
against uncertainty and ambiguity. We leverage neighborhood information in the
valence-arousal space to adaptively construct emotion distributions for
training samples. We also consider …

arxiv distribution uncertainty

More from arxiv.org / cs.CV updates on arXiv.org

Postdoctoral Fellow: ML for autonomous materials discovery

@ Lawrence Berkeley National Lab | Berkeley, CA

Research Scientists

@ ODU Research Foundation | Norfolk, Virginia

Embedded Systems Engineer (Robotics)

@ Neo Cybernetica | Bedford, New Hampshire

2023 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences

@ Lawrence Berkeley National Lab | San Francisco, CA

Senior Manager Data Scientist

@ NAV | Remote, US

Senior AI Research Scientist

@ Earth Species Project | Remote anywhere

Research Fellow- Center for Security and Emerging Technology (Multiple Opportunities)

@ University of California Davis | Washington, DC

Staff Fellow - Data Scientist

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Staff Fellow - Senior Data Engineer

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Computational Linguist

@ Constant Contact | Waterloo, ON/Hybrid, ON

Senior Data Scientist

@ Advian | Espoo, Finland

Data Scientist, EU In-stock Management

@ Gopuff | London, England