Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation-Reference-Cited by-同舟云学术

Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation

Author:

Yang Guanglei¹^ORCID,Fini Enrico²^ORCID,Xu Dan³^ORCID,Rota Paolo²^ORCID,Ding Mingli¹^ORCID,Nabi Moin⁴,Alameda-Pineda Xavier⁵^ORCID,Ricci Elisa²^ORCID

Affiliation:

1. School of Instrument Science and Engineering, Harbin Institute of Technology (HIT), Harbin, China

2. Department of Information Engineering and Computer Science, University of Trento, Trento, TN, Italy

3. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong

4. SAP AI Research, Berlin, Germany

5. Perception Group, INRIA, Le Chesnay-Rocquencourt, France

Funder

China Scholarship Council

H2020 EU Projects SPRING and AI4Media

Fondazione Cassa Di Risparmio Di Trento E Rovereto

Deep Learning Lab of the ProM Facility

European Commission

European Institute of Innovation & Technology

ARN

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

Reference67 articles.

1. Continual learning: A comparative study on how to defy forgetting in classification tasks;de lange,2019

2. Contrastive learning of general-purpose audio representations;saeed,2020

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