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Now showing items 11-17 of 17
Generalization to unseen viewpoint images of objects via alleviated pose attentive capsule agreement
(Springer, 2023-02)
Despite their achievements in object recognition, Convolutional Neural Networks (CNNs) particularly fail to generalize to unseen viewpoints of a learned object even with substantial samples. On the other hand, recently ...
NTIRE 2023 challenge on night photography rendering
(IEEE, 2023)
This paper presents a review of the NTIRE 2023 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions conditions, and thereby ...
AIM 2022 challenge on instagram filter removal: Methods and results
(Springer, 2023)
This paper introduces the methods and the results of AIM 2022 challenge on Instagram Filter Removal. Social media filters transform the images by consecutive non-linear operations, and the feature maps of the original ...
Reversing image signal processors by reverse style transferring
(Springer, 2023)
RAW image datasets are more suitable than the standard RGB image datasets for the ill-posed inverse problems in low-level vision, but not common in the literature. There are also a few studies to focus on mapping sRGB ...
Deterministic neural illumination mapping for efficient auto-white balance correction
(IEEE, 2023)
Auto-white balance (AWB) correction is a critical operation in image signal processors for accurate and consistent color correction across various illumination scenarios. This paper presents a novel and efficient AWB ...
A benchmark for inpainting of clothing images with irregular holes
(Springer, 2020)
Fashion image understanding is an active research field with a large number of practical applications for the industry. Despite its practical impacts on intelligent fashion analysis systems, clothing image inpainting has ...
Fashion image retrieval with capsule networks
(IEEE, 2019)
In this study, we investigate in-shop clothing retrieval performance of densely-connected Capsule Networks with dynamic routing. To achieve this, we propose Triplet-based design of Capsule Network architecture with two ...
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