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cs.CV2023
Simplified Concrete Dropout -- Improving the Generation of Attribution Masks for Fine-grained Classification
Dimitri Korsch, Maha Shadaydeh, Joachim Denzler
Fine-grained classification is a particular case of a classification problem, aiming to classify objects that share the visual appearance and can only be distinguished by subtle di…
cs.CV2016★ 1 cited
Image Denoising Via Collaborative Support-Agnostic Recovery
Muzammil Behzad, Mudassir Masood, Tarig Ballal +2
In this paper, we propose a novel image denoising algorithm using collaborative support-agnostic sparse reconstruction. An observed image is first divided into patches. Similarly s…