A trail camera image pipeline using temporal luma enhancement and a vision transformer classifies unseen river sites as connected or disconnected with about 90% reported accuracy.
It is possible that better model training parameters would score higher but we did not have time to fully explore this area
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
-
A framework for river connectivity classification using temporal image processing and attention based neural networks
A trail camera image pipeline using temporal luma enhancement and a vision transformer classifies unseen river sites as connected or disconnected with about 90% reported accuracy.