Two-Stage Underwater Object Detection Network Using Swin Transformer

Two-Stage Underwater Object Detection Network Using Swin Transformer

Underwater object detection plays an essential role in ocean exploration, and the increasing amount of underwater object image data makes the study of advanced underwater object detection algorithms of great practical significance. However, there are problems with colour offset, low contrast, and ta...

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Bibliographic Details
Main Authors: Jia Liu, Shuang Liu, Shujuan Xu, Changjun Zhou
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deep learning
underwater target detection
swin transformer
feature fusion
faster R-CNN
OHEM
Online Access:https://ieeexplore.ieee.org/document/9938441/

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