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In this work, we aim to jointly solve the image dehazing and the object detection tasks in real hazy scenarios by using haze density as prior knowledge. Our ...
Feb 25, 2021 · In this work, we aim to jointly solve the image dehazing and the object detection tasks in real hazy scenarios by using haze density as prior knowledge.
Unified Density-Aware Image Dehazing and Object Detection in Real-World Hazy Scenes. Accepted by ACCV2020. The code is coming soon.
A collection of DL-based dehazing methods. This repository provides a summary of deep learning based dehazing algorithms.
It is a robust detection framework for bridging the gap between low-level dehazing and high-level detection.
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Unified density-aware image dehazing and object detection in real-world hazy scenes. Z Zhang, L Zhao, Y Liu, S Zhang, J Yang. Proceedings of the Asian ...
Oct 30, 2024 · Zhang et al. [28] proposed a model consisting of a haze density classifier, a density-aware dehazer, and a density-aware object detector, where ...
In this paper, we present a novel approach for autonomous single-image dehazing. Our approach consists of four major steps: sharpness enhancement, adaptive ...
Oct 28, 2024 · Bibliographic details on Unified Density-Aware Image Dehazing and Object Detection in Real-World Hazy Scenes.
Aug 22, 2024 · This task remains challenging due to the complexities in accurately modeling real haze distributions and the scarcity of paired real-world data.