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Uncertainty-driven dehazing network

Web28 Jun 2024 · In this paper, we propose a novel uncertainty-driven dehazing network (UDN) that improves the dehazing results by exploiting the relationship between the uncertain … Webdensely dehazing network is proposed for single image hazeremoval in this paper. Because of complex monitoring scenes and railway visual data’s features, the paper makes the followingcontributions: First, a novel end-to-end densely dehazing network is proposed. Enhanced dense blocks (EDBs) have taken in DenseNet (Huang et al.,2024) structure.

[1803.08396] Densely Connected Pyramid Dehazing Network

Web28 Jun 2024 · In this paper, we propose a novel uncertainty-driven dehazing network (UDN) that improves the dehazing results by exploiting the relationship between the uncertain and confident representations. We first introduce an Uncertainty Estimation Block (UEB) to … Web11 Jan 2024 · Single image dehazing is a challenging ill-posed problem which estimates latent haze-free images from observed hazy images. Some existing deep learning based … naturehike backpack tent https://frenchtouchupholstery.com

(PDF) Deep Residual Haze Network for Image Dehazing and Deraining - …

WebUDN consists of M Uncertainty Driven Modules (UDMs), in which UEBm is used to estimate the uncertainty map Um together with an intermediate dehazing result Ĵm. FEB is used to … WebMing Hong, Jianzhuang Liu, Cui-hua Li, Yanyun Qu: Uncertainty-driven Dehazing Network. AAAI, 2024. Lin Liu, Shanxin Yuan, Jianzhuang Liu, Xin Guo, Youliang Yan, Qi Tian: SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained Siamese Transformers. AAAI, 2024. WebIn this paper, we propose a novel uncertainty-driven dehazing network (UDN) that improves the dehazing more »... s by exploiting the relationship between the uncertain and confident representations. We first introduce an Uncertainty Estimation Block (UEB) to predict the aleatoric and epistemic uncertainty together. marineland 10 gallon led hood

Uncertainty-Driven Dehazing Network Proceedings of the …

Category:Structure Representation Network and Uncertainty Feedback …

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Uncertainty-driven dehazing network

Densely Connected Pyramid Dehazing Network IEEE Conference ...

WebIn this paper, we propose a novel uncertainty-driven dehazing network (UDN) that improves the dehazing results by exploiting the relationship between the uncertain and confident representations. We first introduce an Uncertainty Estimation Block (UEB) to predict the aleatoric and epistemic uncertainty together. Web16 Aug 2024 · In this paper, we propose a multi-scale feature fusion image dehazing network incorporating a contiguous memory mechanism (MFFDN-CM). This is an end-to-end trainable CNN model, which develops a deep model equipped with multi-scale feature fusion driven by continuous memory, attentional module and residual-dense block for image …

Uncertainty-driven dehazing network

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Web13 Jan 2024 · DehazeNet [39] developed a convolutional neural network to estimate the transmission map of hazy images and then restore haze-free images by estimating … WebNote that since the values of epistemic uncertainty are small, we scale them for better view. - "Uncertainty-Driven Dehazing Network" Figure 8: Visualization of the uncertainty maps and prediction errors on a test image of SOTS. From top to down are the results from the 1st and 4th UEBs. From left to right are the epistemic uncertainty σ2E ...

Web1 May 2024 · A novel light-weight similarity driven transmission computing network called SDTCN that is guided by the attributes of transmission similarity is proposed that outperforms the state-of-the-art methods on synthetic and real-world images. Transmission similarity is an important feature which can greatly increase the capability of … Web2 Mar 2024 · We introduce the uncertainty feedback learning in our defogging network, which can refine the defogging results iteratively by focusing on areas that still suffer …

WebUncertainty-Driven Dehazing Network @inproceedings{Hong2024UncertaintyDrivenDN, title={Uncertainty-Driven Dehazing Network}, author={Ming Hong and Jianzhuang Liu and …

WebUncertainty-Driven Dehazing Network @inproceedings{Hong2024UncertaintyDrivenDN, title={Uncertainty-Driven Dehazing Network}, author={Ming Hong and Jianzhuang Liu and …

WebDOI: 10.1609/aaai.v36i1.19973 Corpus ID: 250292483; Uncertainty-Driven Dehazing Network @inproceedings{Hong2024UncertaintyDrivenDN, title={Uncertainty-Driven Dehazing Network}, author={Ming Hong and Jianzhuang Liu and Cuihua Li and Yanyun Qu}, booktitle={AAAI Conference on Artificial Intelligence}, year={2024} } naturehike bear ul 2 person tentWebUDN consists of M Uncertainty Driven Modules (UDMs), in which UEBm is used to estimate the uncertainty map Um together with an intermediate dehazing result Ĵm. FEB is used to modulate IFm−1 to generate the modulated feature MFm, where FEBm enhances the uncertain feature from IFm−1, and a gate unit (the gray part) is used to aggregate IFm−1 … nature hike backgroundWeb2 Mar 2024 · To the best of our knowledge, our method is the first single-image defogging network that performs robustly in dense non-uniform fog, by combining structure representations from ViT and features from CNN as feature regularization. Thus, the background information under fog can be preserved and extracted. marineland 10 gallon biowheel aquarium kit