{"total":13,"rows":[{"id":"2108.01513","title":"SphereFace2: Binary Classification is All You Need for Deep Face Recognition","created":"2021-08-03","cited_by_count":42,"area":null},{"id":"2205.12010","title":"SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition","created":"2022-05-24","cited_by_count":21,"area":null},{"id":"2212.00057","title":"Part-based Face Recognition with Vision Transformers","created":"2022-11-30","cited_by_count":18,"area":null},{"id":"2403.08161","title":"LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition","created":"2024-03-13","cited_by_count":13,"area":null},{"id":"2409.18876","title":"CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition","created":"2024-09-27","cited_by_count":10,"area":null},{"id":"2106.04112","title":"Harnessing Unrecognizable Faces for Improving Face Recognition","created":"2021-06-08","cited_by_count":7,"area":null},{"id":"2107.11721","title":"PoseFace: Pose-Invariant Features and Pose-Adaptive Loss for Face Recognition","created":"2021-07-25","cited_by_count":7,"area":null},{"id":"2109.13423","title":"Weakly Supervised Keypoint Discovery","created":"2021-09-28","cited_by_count":5,"area":null},{"id":"2103.03503","title":"NPT-Loss: A Metric Loss with Implicit Mining for Face Recognition","created":"2021-03-05","cited_by_count":4,"area":null},{"id":"2106.06415","title":"Attention-based Partial Face Recognition","created":"2021-06-11","cited_by_count":2,"area":null},{"id":"2101.09899","title":"MultiFace: A Generic Training Mechanism for Boosting Face Recognition Performance","created":"2021-01-25","cited_by_count":1,"area":null},{"id":"2109.04698","title":"Face-NMS: A Core-set Selection Approach for Efficient Face Recognition","created":"2021-09-10","cited_by_count":0,"area":null},{"id":"2506.20312","title":"On the Burstiness of Faces in Set","created":"2025-06-25","cited_by_count":0,"area":null}],"next_cursor":null}