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RULe: Relocalization-Uniformization-Landmark Estimation Network for Real-Time Face Alignment in Degraded Conditions.

, , , , and . FG, page 1-8. IEEE, (2023)

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PIPE : Parallelized Inference Through Post-Training Quantization Ensembling of Residual Expansions., , and . CoRR, (2023)Efficient Neural Networks: Post Training Pruning and Quantization. (Accélération des réseaux de neurones).. Sorbonne University, Paris, France, (2023)To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding., , and . IJCAI, page 1601-1607. ijcai.org, (2022)Designing Strong Baselines for Ternary Neural Network Quantization through Support and Mass Equalization., , and . ICIP, page 540-544. IEEE, (2023)PowerQuant: Automorphism Search for Non-Uniform Quantization., , , and . ICLR, OpenReview.net, (2023)Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings., , and . ICLR, OpenReview.net, (2024)Fighting Over-Fitting with Quantization for Learning Deep Neural Networks on Noisy Labels., , , and . ICIP, page 575-579. IEEE, (2023)RULe: Relocalization-Uniformization-Landmark Estimation Network for Real-Time Face Alignment in Degraded Conditions., , , , and . FG, page 1-8. IEEE, (2023)SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance., , , and . NeurIPS, (2022)DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation., , and . FG, page 146-152. IEEE, (2020)