碎片 发表于 2025-3-30 08:14:01
http://reply.papertrans.cn/24/2343/234257/234257_51.pngpineal-gland 发表于 2025-3-30 15:00:32
,Frequency and Spatial Dual Guidance for Image Dehazing,image dehazing methods that primarily exploit the spatial information and neglect the distinguished frequency information, we introduce a new perspective to address image dehazing by jointly exploring the information in the frequency and spatial domains. To implement frequency and spatial dual guidaPerineum 发表于 2025-3-30 19:56:00
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http://reply.papertrans.cn/24/2343/234257/234257_54.pngchampaign 发表于 2025-3-31 02:45:22
ARM: Any-Time Super-Resolution Method, motivated by three observations: (1) The performance of different image patches varies with SISR networks of different sizes. (2) There is a tradeoff between computation overhead and performance of the reconstructed image. (3) Given an input image, its edge information can be an effective option to勉强 发表于 2025-3-31 06:39:55
,Attention-Aware Learning for Hyperparameter Prediction in Image Processing Pipelines,ignal and feed it into downstream tasks. The processing blocks in ISPs depend on a set of tunable hyperparameters that have a complex interaction with the output. Manual setting by image experts is the traditional way of hyperparameter tuning, which is time-consuming and biased towards human perceptSLAG 发表于 2025-3-31 12:57:15
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,Memory-Augmented Model-Driven Network for Pansharpening,timation (MAP) model with two well-designed priors on the latent multi-spectral (MS) image, i.e., global and local implicit priors to explore the intrinsic knowledge across the modalities of MS and panchromatic (PAN) images. Second, we design an effective alternating minimization algorithm to solveRAGE 发表于 2025-3-31 19:30:00
,All You Need Is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines,ool these models into making a false prediction on an image that was correctly predicted without the perturbation. Various defense methods have proposed image-to-image mapping methods, either including these perturbations in the training process or removing them in a preprocessing step. In doing so,AXIOM 发表于 2025-3-31 21:41:38
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