Assessing fish abundance from underwater video using deep neural networks

Uses of underwater videos to assess diversity and abundance of fish are being rapidly adopted by marine biologists. Manual processing of videos for quantification by human analysts is time and labour intensive... (read more)

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Methods used in the Paper


METHOD TYPE
RPN
Region Proposal
Softmax
Output Functions
Convolution
Convolutions
RoIPool
RoI Feature Extractors
Faster R-CNN
Object Detection Models