mousecpn/DMC-Domain-Generalization-for-Underwater-Object-Detection
[Neurocomputing 2023] An official implementation of Achieving Domain Generalization in Underwater Object Detection by Domain Mixup and Contrastive Learning
This project helps underwater vision system developers create more robust object detection models. It takes underwater images and their corresponding object annotations for training, then produces a model that can identify objects accurately even in challenging new underwater environments with varying visibility or lighting. This is for engineers and researchers developing autonomous underwater vehicles or remote sensing systems.
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Use this if your underwater object detection models struggle to perform well when deployed in new aquatic environments that differ significantly from your training data.
Not ideal if you are looking for a general-purpose object detection tool for surface-level or non-underwater imagery.
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Language
Python
License
MIT
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Last pushed
Feb 13, 2023
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