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Found 4 papers, 1 papers with code
Mitigating Background Shift in Class-Incremental Semantic Segmentation
Additionally, in the case of the second approach, initializing the new class classifier with background knowledge triggers a similar background shift issue, but towards the new classes.
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on PASCAL VOC 2012
Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning
While interests in tabular deep learning has significantly grown, conventional tree-based models still outperform deep learning methods.
Real-time 3-D Mapping with Estimating Acoustic Materials
This paper proposes a real-time system integrating an acoustic material estimation from visual appearance and an on-the-fly mapping in the 3-dimension.
Lifelog Patterns Analyzation using Graph Embedding based on Deep Neural Network
A lifelog is a kind of big data to analyze behavior patterns in the daily life of individuals collected from various smart de-vices.
