An online clustering framework with dynamic cluster splitting/merging and fixed-size representative sampling achieves about 0.68 average F1 on three seafloor image datasets with bounded runtime.
Continual unsupervised representation learning,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations
An online clustering framework with dynamic cluster splitting/merging and fixed-size representative sampling achieves about 0.68 average F1 on three seafloor image datasets with bounded runtime.