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ProtoFL: Unsupervised Federated Learning via Prototypical Distillation.

, , , , , and . ICCV, page 6447-6456. IEEE, (2023)

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Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss., , , , , , , and . CVPR, page 4350-4359. Computer Vision Foundation / IEEE, (2019)Joint Training of Low-Precision Neural Network with Quantization Interval Parameters., , , , , , and . CoRR, (2018)Liveness Score-Based Regression Neural Networks for Face Anti-Spoofing., , , , and . ICASSP, page 1-5. IEEE, (2023)A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone., , , , , , , and . ICCV Workshops, page 1131-1139. IEEE, (2019)Robust Face Anti-Spoofing Framework with Convolutional Vision Transformer., , and . ICIP, page 1015-1019. IEEE, (2023)1st Place in ICCV 2023 Workshop Challenge Track 1 on Resource Efficient Deep Learning for Computer Vision: Budgeted Model Training Challenge., , , and . CoRR, (2023)Order Regularization on Ordinal Loss for Head Pose, Age and Gaze Estimation., , , , , and . AAAI, page 1496-1504. AAAI Press, (2021)ProtoFL: Unsupervised Federated Learning via Prototypical Distillation., , , , , and . ICCV, page 6447-6456. IEEE, (2023)RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning., , , , , , , , , and 28 other author(s). ICCV (Workshops), page 1526-1535. IEEE, (2023)