most citedLocal positional graphs and attentive local features for a data and runtime-efficient hierarchical place recognition pipeline

2 citations · 4 across the 3 of their papers we have counts for

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cs.CV2024★ 2 cited

FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification

Markus Weißflog, Peter Protzel, Peer Neubert

Class-incremental continual learning is an important area of research, as static deep learning methods fail to adapt to changing tasks and data distributions. In previous works, pr…

cs.CV2024★ 2 cited

Local positional graphs and attentive local features for a data and runtime-efficient hierarchical place recognition pipeline

Fangming Yuan, Stefan Schubert, Peter Protzel +1

Large-scale applications of Visual Place Recognition (VPR) require computationally efficient approaches. Further, a well-balanced combination of data-based and training-free approa…