Memory-Efficient Continual Learning Object Segmentation for Long Videos

Recent state-of-the-art semi-supervised Video Object Segmentation (VOS) methods have shown significant improvements in target object segmentation accuracy when information from preceding frames is used in segmenting the current frame. In particular, such memory-based approaches can help a model to m...

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Veröffentlicht in:	IEEE access Jg. 12; S. 97067 - 97084
Hauptverfasser:	Nazemi, Amir, Javad Shafiee, Mohammad, Gharaee, Zahra, Fieguth, Paul
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy continual learning Continuing education Datasets Distance learning Frames (data processing) Knowledge representation Learning systems Memory management Object segmentation Performance enhancement regularization-based solutions replay-based methods Segmentation Task analysis Training Video Video object segmentation Videos
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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