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cs.CV2024
Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial Augmentation?
Dmitry Ignatov, Andrey Ignatov, Radu Timofte
We present ANYU, a new virtually augmented version of the NYU depth v2 dataset, designed for monocular depth estimation. In contrast to the well-known approach where full 3D scenes…
cs.CV2020★ 31 cited
Controlling Information Capacity of Binary Neural Network
Dmitry Ignatov, Andrey Ignatov
Despite the growing popularity of deep learning technologies, high memory requirements and power consumption are essentially limiting their application in mobile and IoT areas. Whi…