… representation of visual data transforms … invariant representations as well as motion and
relative poses of objects. However, performing a mathematical analysis of the transformation …

… to produce transformation invariant representations. To … transformation invariance loss
and covariance contrast loss, we get an encoder that is able to produce useful representations …

… a primer on visual representations and … representation that is invariant to all transformations
and selective for , there may be a dual representation that is invariant to all transformations …

… visual features. In previous computer simulation studies with rate-coded neural networks, the
development of transformation-invariant representations … and Continuous Transformation (…

… We present a simple yet effective self-supervised framework for audio-visual representation
learning, to localize the sound source in videos. To understand what enables to learn useful …

… a general overview of invariant feature representation in deep CNNs. A comprehensive
discussion of state-of-the-art techniques for encoding geometric transformation in CNN models is …

… An additional transformation of spatial frequency information is therefore demonstrated that
… a size invariant representation of form. The feasibility of the transform scheme in the visual …

… invariance to identitypreserving image transformations found along the ventral stream. Despite
theoretical evidence that invariance … -preserving image transformations commonly used in …

… -invariant (rotation/reversal) image representation based on polar … In this way we can obtain
identical representations for an … For handcrafted feature representation, we have proposed a …

… framework of transformationinvariant feature learning by incorporating linear transformations
into the feature learning algorithms. For example, we present the transformation-invariant re…