May 1, 2023 · The prior guides detectors removing degradations that interfere with detection. It is based on statistical observations that, the heavily ...
This repo is the official implementation of Learning Heavily-Degraded Prior for Underwater Object Detection. It is based on mmdetection. Introduction. We ...
The prior guides detectors removing degradations that interfere with detection. It is based on statistical observations that, the heavily degraded regions of ...
The prior guides detectors removing degradations that interfere with detection. It is based on statistical observations that, the heavily degraded regions of ...
To address this challenge, our study proposes an innovative fish detection network based on prior knowledge of image degradation. In our research process, we ...
In this section, we first introduce degraded factors analysis to analyze two processes of underwater image degradation. Then we construct a new multi-branch ...
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Mar 24, 2024 · In this article, an advanced deep learning framework is developed to undertake underwater object detection (UOD) using sonar images of a ...
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Aug 8, 2024 · Learning heavily-degraded prior for underwater object detection. IEEE Trans. Circuits Syst. Video Technol. (2023). Google Scholar. Gao et al ...
Jun 20, 2024 · To address this challenge, our study proposes an innovative fish detection network based on prior knowledge of image degradation. In our ...
Apr 27, 2024 · In this work, we investigate injecting the depth prior into the deep UIE model for more precise scene enhancement capability. To this end, we ...