2 papers
cs.CV2026
Accurate Shift Invariant Convolutional Neural Networks Using Gaussian-Hermite Moments
Jaspreet Singh, Petra Bosilj, Grzegorz Cielniak
The convolutional neural networks (CNNs) are not inherently shift invariant or equivariant. The downsampling operation, used in CNNs, is one of the key reasons which breaks the shi…
cs.CV2024
Domain Generalisation for Object Detection under Covariate and Concept Shift
Karthik Seemakurthy, Erchan Aptoula, Charles Fox +1
Domain generalisation aims to promote the learning of domain-invariant features while suppressing domain-specific features, so that a model can generalise better to previously unse…