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Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization.

, , , , , and . WACV, page 4750-4758. IEEE, (2023)

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Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning., , , , , and . CoRR, (2021)Zero-shot Synthesis with Group-Supervised Learning., , , and . ICLR, OpenReview.net, (2021)Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization., , , , , and . WACV, page 4750-4758. IEEE, (2023)MFANet: Multi-scale feature fusion network with attention mechanism., , , and . Vis. Comput., 39 (7): 2969-2980 (July 2023)Design of action detection system in wrestling match video based on 3D convolutional neural network., , , , and . Int. J. Wirel. Mob. Comput., 22 (1): 29-37 (2022)Collaborative Unsupervised Visual Representation Learning from Decentralized Data., , , , and . ICCV, page 4892-4901. IEEE, (2021)Performance Optimization of Federated Person Re-identification via Benchmark Analysis., , , , , , , and . ACM Multimedia, page 955-963. ACM, (2020)EasyFL: A Low-code Federated Learning Platform For Dummies., , , and . CoRR, (2021)Federated Unsupervised Domain Adaptation for Face Recognition., , , , , and . ICME, page 1-6. IEEE, (2022)AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression., , , , , and . SIGIR, page 1833-1837. ACM, (2023)