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Marine Animal Detection and Recognition With Advanced Deep Learning Models PDF

9 Pages·2021·English
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by ['Anh Minh Tran']| 2021| 9 pages| English

About Marine Animal Detection and Recognition With Advanced Deep Learning Models

This document summarizes the authors' contributions to three tasks in SEACLEF-2017 involving automatic detection and recognition of marine animals from images and video. For task 1 on fish species recognition, they used SSD and PVANET models to detect bounding boxes around fish, then classified the boxes using a ResNet-10 network. For task 2 on salmon identification, they used a BN-Inception network to classify frames as containing salmon or not. For task 3 on weakly-labeled marine animal recognition, they examined various neural networks for classification. Their methods achieved good results in tasks 1 and 3.

Detailed Information

Author:['Anh Minh Tran']
Publication Year:2021
Pages:9
Language:English
Format:PDF
Price:FREE
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