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LocalFace: Learning significant local features for deep face recognition 1 1. Introduction 1 2. Related work 2 2.1. Margin-based loss function 2 2.2. Channel attention mechanism 2 2.3. Face local feature 2 3. Proposed approach 2 3.1. Local feature extraction 3 3.1.1. Fixed-point local features 3 3.1.2. Dynamic local features 3 3.2. Block-based random occlusion 5 3.3. Discussion on channel attention mechanisms in face recognition 6 4. Experiments 6 4.1. Implementation details 6 4.1.1. Datasets 6 4.2. Ablation study 6 4.2.1. Local features 6 4.2.2. Channel attention 6 4.2.3. Block-based random occlusion 6 4.2.4. Different size of occlusion regions 6 4.2.5. Performance on lightweight model 7 4.3. Comparisons with SOTA methods 8 4.3.1. Results on LFW, CFP-FP, CPLFW, AgeDB and CALFW 8 4.3.2. Results on IJB-B, IJB-C 8 4.3.3. Results on MegaFace 9 5. Conclusion 9 CRediT authorship contribution statement 9 Declaration of Competing Interest 9 Acknowledgements 9 References 9

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nonfiction