• Corpus ID: 2762417

Marine Animal Detection and Recognition with Advanced Deep Learning Models

@inproceedings{Zhuang2017MarineAD,
  title={Marine Animal Detection and Recognition with Advanced Deep Learning Models},
  author={Peiqin Zhuang and Linjie Xing and Yanlin Liu and Sheng Guo and Yu Qiao},
  booktitle={Conference and Labs of the Evaluation Forum},
  year={2017}
}
This paper summarizes SIATMMLAB’s contributions in SEACLEF2017 task [1. [] Key Method In Automatic Fish Identification and Species Recognition task, we exploited different frameworks to detect the proposal boxes of foreground fish, then fine-tuned a pre-trained neural network to classify the fish. In Automatic Frame-level Salmon Identification task, we utilized the BN-Inception [2] network to identify whether a video frame contains salmons or not.

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