Fish Detection
2 papers with code • 0 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Fish Detection
DeepFish
Fishnet Open Images
Most implemented papers
Underwater Fish Detection using Deep Learning for Water Power Applications
To test how well a model could generalize to new datasets, the model was trained using examples from only two of the datasets and then tested on examples from all three datasets.
FishMOT: A Simple and Effective Method for Fish Tracking Based on IoU Matching
Wherein, a basic module performs target association based on IoU of detection boxes between successive frames to deal with morphological change of fish; an interaction module combines IoU of detection boxes and IoU of fish entity to handle occlusions; a refind module use spatio-temporal information uses spatio-temporal information to overcome the tracking failure resulting from the missed detection by the detector under complex environment.
