Abstract page for arXiv paper 2304.04259: CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning.

Finally, we propose and implement a regularization- based continual learning approach on LWL, an existing online VOS baseline, to demonstrate the efficacy of ...

Nov 4, 2023 · CLVOS23: A benchmark dataset for addressing Continual Learning in Video Object Segmentation (VOS) and evaluating VOS models on long videos. [  ...

Finally, we propose and implement a regularization-based continual learning approach on LWL, an existing online VOS baseline, to demonstrate the efficacy of ...

CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning is a dataset for semantic segmentation, object detection, and semi supervised learning ...

CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning ... CLVOS23 is a dataset for semantic segmentation, object detection, and semi-supervised ...

In this article we focus on developing continual learning-based solutions. ... ... For long video evaluation, in which target objects exhibit appearance changes ...

Moreover, we propose a new long-video object segmentation dataset for continual learning (CLVOS23), as a much more realistic and significantly greater challenge ...

CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning. Amir Nazemi, Zeyad Moustafa, P. Fieguth. 2023 IEEE/CVF Conference on Computer Vision ...

CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning ... Continual learning in real-world scenarios is a major challenge. 4. 09 Apr 2023.