The computational models of visual attention, originally proposed as cognitive models of human attention, nowadays are being used as front-ends to some robotic vision systems, like automatic object ...

Your work is so good. I would like to ask if the initial rotation is randomly offset during training and the translation is set to the depth value, the range of translation that needs to be updated ...

ABSTRACT: With the changes of China’s market and the increasing number of industries involved in translation, the theory of translation has become more and more complicated, and the diversity of ...

State-of-the-art machine learning models struggle with generalization which can only be achieved by proper accounting for core knowledge priors. This paper is available on arxiv under CC 4.0 license.

Object-oriented Python package for applying common 2D transformations (translation, scaling, rotation, shearing, reflection) to geometric shapes — built for graphics and geometry computation.

Geometry is a subject that requires visual representation, and it is crucial for students to have a fundamental understanding of geometric concepts such as reflections, rotations, and translations.

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Abstract: The convolutional layers of the standard convolutional neural networks (CNNs) are equivariant to translation. Recently, a new class of CNNs is introduced which is equivariant to other affine ...