{"total":22,"rows":[{"id":"2103.04098","title":"WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition","created":"2021-03-06","cited_by_count":223,"area":null},{"id":"2107.13046","title":"MixFaceNets: Extremely Efficient Face Recognition Networks","created":"2021-07-27","cited_by_count":36,"area":null},{"id":"2307.01838","title":"EdgeFace: Efficient Face Recognition Model for Edge Devices","created":"2023-07-04","cited_by_count":33,"area":null},{"id":"2206.10526","title":"QuantFace: Towards Lightweight Face Recognition by Synthetic Data Low-bit Quantization","created":"2022-06-21","cited_by_count":18,"area":null},{"id":"2212.05428","title":"ezDPS: An Efficient and Zero-Knowledge Machine Learning Inference Pipeline","created":"2022-12-11","cited_by_count":10,"area":null},{"id":"2104.14964","title":"Deep learning with self-supervision and uncertainty regularization to count fish in underwater images","created":"2021-04-30","cited_by_count":9,"area":null},{"id":"2306.01997","title":"UADB: Unsupervised Anomaly Detection Booster","created":"2023-06-03","cited_by_count":8,"area":null},{"id":"2208.13400","title":"Towards Explaining Demographic Bias through the Eyes of Face Recognition Models","created":"2022-08-29","cited_by_count":7,"area":null},{"id":"2308.04168","title":"EFaR 2023: Efficient Face Recognition Competition","created":"2023-08-08","cited_by_count":7,"area":null},{"id":"2504.19646","title":"xEdgeFace: Efficient Cross-Spectral Face Recognition for Edge Devices","created":"2025-04-28","cited_by_count":5,"area":null},{"id":"2405.18302","title":"Deep Network Pruning: A Comparative Study on CNNs in Face Recognition","created":"2024-05-28","cited_by_count":3,"area":null},{"id":"2604.09127","title":"FaceLiVTv2: An Improved Hybrid Architecture for Efficient Mobile Face Recognition","created":"2026-04-10","cited_by_count":3,"area":null},{"id":"2104.01536","title":"Performance analysis of facial recognition: A critical review through glass factor","created":"2021-04-04","cited_by_count":2,"area":null},{"id":"2302.03318","title":"PAMI: partition input and aggregate outputs for model interpretation","created":"2023-02-07","cited_by_count":2,"area":null},{"id":"2307.10697","title":"SqueezerFaceNet: Reducing a Small Face Recognition CNN Even More Via Filter Pruning","created":"2023-07-20","cited_by_count":2,"area":null},{"id":"2409.11816","title":"SymFace: Additional Facial Symmetry Loss for Deep Face Recognition","created":"2024-09-18","cited_by_count":1,"area":null},{"id":"2605.04769","title":"Lightweight Cross-Spectral Face Recognition via Contrastive Alignment and Distillation","created":"2026-05-06","cited_by_count":1,"area":null},{"id":"2202.10320","title":"Resurrecting Trust in Facial Recognition: Mitigating Backdoor Attacks in Face Recognition to Prevent Potential Privacy Breaches","created":"2022-02-18","cited_by_count":0,"area":null},{"id":"2311.15326","title":"Lightweight Face Recognition: An Improved MobileFaceNet Model","created":"2023-11-26","cited_by_count":0,"area":null},{"id":"2402.18163","title":"Ef-QuantFace: Streamlined Face Recognition with Small Data and Low-Bit Precision","created":"2024-02-28","cited_by_count":0,"area":null},{"id":"2409.06371","title":"Distilling Generative-Discriminative Representations for Very Low-Resolution Face Recognition","created":"2024-09-10","cited_by_count":0,"area":null},{"id":"2606.15355","title":"Sustainable Face Recognition on Low-Power Devices with VQ-VAE Embeddings","created":"2026-06-13","cited_by_count":0,"area":null}],"next_cursor":null}