A new diagnostic framework using inpainted context ratios and laterality checks on a Pantanal jaguar benchmark reveals whether re-ID models depend on coat patterns or spurious background evidence.
Arcface: Additive angular margin loss for deep face recognition
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
representative citing papers
λ-Orthogonality regularization enables distribution-specific adaptation of representations via affine transformations while retaining original learned structures.
citing papers explorer
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Are We Recognizing the Jaguar or Its Background? A Diagnostic Framework for Jaguar Re-Identification
A new diagnostic framework using inpainted context ratios and laterality checks on a Pantanal jaguar benchmark reveals whether re-ID models depend on coat patterns or spurious background evidence.
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$\boldsymbol{\lambda}$-Orthogonality Regularization for Compatible Representation Learning
λ-Orthogonality regularization enables distribution-specific adaptation of representations via affine transformations while retaining original learned structures.