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Author

Md Rifat Ur Rahman

3 papers indexed here

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Preprint Aug 2026

Orthogonal Polynomial Approximation for Matrix Log Normalization in Global Covariance Pooling

Global Covariance Pooling (GCP) improves deep networks by capturing second-order feature statistics, and is especially effective for fine-grained recognition. Because covariance matrices live on the Symmetric Positive Definite (SPD) manifold, a normalization step is required before the Euclidean classifier. The faithfu...

Md Rifat Ur Rahman, Md Raihan Khan, Md Sakib Hossain Shovon et al. · 0 citations
Preprint Aug 2026

Is Haar Enough? Exploring Symlets and Coiflets for Wavelet Convolution Layers

Coiflet-based wavelet convolution layers match Haar at deeper levels with approximately 32% fewer additional parameters and 33% fewer additional FLOPs, providing a concrete and actionable design choice for practitioners building wavelet-based architectures.

Md Rifat Ur Rahman · 0 citations
Preprint Aug 2026

Orthogonal Polynomial Approximation for Matrix Log Normalization in Global Covariance Pooling

Global Covariance Pooling (GCP) improves deep networks by capturing second-order feature statistics, and is especially effective for fine-grained recognition. Because covariance matrices live on the Symmetric Positive Definite (SPD) manifold, a normalization step is required before the Euclidean classifier. The faithfu...

Md Rifat Ur Rahman, Md Raihan Khan, Md Sakib Hossain Shovon et al. · 0 citations

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