Article

Trade-off between performance and human-like perception in face recognition models

2025-12-09

Abstract excerpt

<p>In the past decade, different computational models have been developed for face recognition. Despite their widespread use in cognitive neuroscience studies, it is not well understood whether their excellent recognition performance means that they “see” faces like humans do. Here, we collected a large dataset of human similarity judgments across a diverse set of faces, and shared it publicly. We examined whether...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 866e9971-206c-5933-ac3f-4af5654b6b9e
DOI: 10.31234/osf.io/bz3f9_v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Trade-off between performance and human-like perception in face recognition modelsDOI 10.31234/osf.io/bz3f9_v1Read

Trade-off between performance and human-like perception in face recognition modelsSemantic proximity Read

Grounding deep neural network predictions of human categorization behavior in understandable functional features: The case of face identitySemantic proximity Read

Face dissimilarity judgements are predicted by representational distance in morphable and image-computable modelsSemantic proximity Read

Capturing and modifying the perceived traits of all possible facesSemantic proximity Read

Behavioral signatures of face perception emerge in deep neural networks optimized for face recognitionSemantic proximity Read

Deep learning algorithms reveal a new visual-semantic representation of familiar faces in human perception and memorySemantic proximity Read

Synthetic And Natural Face Identity Processing Share Common MechanismsSemantic proximity Read

Predicting visual working memory errors with a priori measures of representational geometry from human and artificial systemsSemantic proximity Read

Computational insights into human perceptual expertise for familiar and unfamiliar face recognitionSemantic proximity Read

Diverse Visual Experience Promotes Integrated and Human-Aligned Face Representations in Deep Neural NetworksSemantic proximity Read

Conceptual rather than perceptual similarity enables generalization across perceptually different appearances of familiarized facesSemantic proximity Read

Unraveling other-race face perception with GAN-based image reconstructionSemantic proximity Read