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Apr 6, 2021 · There are two common ideas to improve the domain generalization performance. First, it can be inferred that the detector trained on as many ...
Apr 1, 2023 · This paper further excavates these two ideas and proposes a domain generalization framework that learns how to generalize across domains from Domain Mixup and ...
A domain adaptation framework for underwater image enhancement via content and style separation is proposed.
Apr 1, 2023 · The performance of existing underwater object detection methods severely degrades when they face the domain shift caused by complicated ...
The image enhancement network module and the detector are jointly trained to improve the interaction between them. Other works improve the generalization of ...
Apr 1, 2023 · Achieving domain generalization for underwater object detection by domain mixup and contrastive learning ... Image stylization, Object ...
First, the style transfer model transforms images from one source domain to another, enriching the domain diversity of the training data. Second, interpolating ...
First, the style transfer model transforms images from one source domain to another, enriching the domain diversity of the training data. Second, interpolating ...
Oct 22, 2024 · Request PDF | On Jan 1, 2022, Yang Chen and others published Achieving Domain Generalization for Underwater Object Detection by Domain Mixup ...
Missing: Stylization | Show results with:Stylization
This work aims to use small dataset with limited domains to train a domain-invariant detector. First, for tackling chal- lenge (1), we propose a new ...
Missing: Stylization | Show results with:Stylization