Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation

Published in European Conference on Computer Vision 2024, 2024

The contents above will be part of a list of publications, if the user clicks the link for the publication than the contents of section will be rendered as a full page, allowing you to provide more information about the paper for the reader. When publications are displayed as a single page, the contents of the above “citation” field will automatically be included below this section in a smaller font.

Recommended citation: Zhang, A., Gao, G. (2025). Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation. In: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G. (eds) Computer Vision – ECCV 2024. ECCV 2024. Lecture Notes in Computer Science, vol 15110. Springer, Cham. https://doi.org/10.1007/978-3-031-72943-0_10
Download Paper | Download Slides