EPANet combines cross-scale feature pyramid connections and a diversified bottleneck block to improve underwater fish detection accuracy and speed.
Rethinking general underwater object detection: Datasets, challenges, and solutions
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
EPANet: Efficient Path Aggregation Network for Underwater Fish Detection
EPANet combines cross-scale feature pyramid connections and a diversified bottleneck block to improve underwater fish detection accuracy and speed.