Intruder
发表于 2025-3-28 15:27:55
Deep Boosting for Image Denoising existing boosting algorithms are surpassed by the emerging learning-based models. In this paper, we propose a novel deep boosting framework (DBF) for denoising, which integrates several convolutional networks in a feed-forward fashion. Along with the integrated networks, however, the depth of the b
biosphere
发表于 2025-3-28 21:27:28
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insomnia
发表于 2025-3-29 02:24:57
K-convexity Shape Priors for Segmentationsubsets. Since an arbitrary shape can always be divided into convex parts, our regularization model restricts the number of such parts. Previous .-part shape priors are limited to disjoint parts. For example, one approach segments an object via optimizing its . coverage by disjoint convex parts, whi
谁在削木头
发表于 2025-3-29 04:46:19
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啜泣
发表于 2025-3-29 08:52:35
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Legion
发表于 2025-3-29 13:06:23
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olfction
发表于 2025-3-29 15:49:26
Fighting Fake News: Image Splice Detection via Learned Self-Consistencyver, remains a challenging problem due to the lack of sufficient amounts of manipulated training data. In this paper, we propose a learning algorithm for detecting visual image manipulations that is trained only using a large dataset of real photographs. The algorithm uses the automatically recorded
EVEN
发表于 2025-3-29 20:30:28
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无情
发表于 2025-3-30 03:46:06
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CBC471
发表于 2025-3-30 06:42:26
CAR-Net: Clairvoyant Attentive Recurrent Networknt. We exploit two sources of information: the past motion trajectory of the agent of interest and a wide top-view image of the navigation scene. We propose a Clairvoyant Attentive Recurrent Network (CAR-Net) that learns where to look in a large image of the scene when solving the path prediction ta