Efficient Computing

This repo is a collection of Efficient-Computing methods developed by Huawei Noah's Ark Lab.

Data-Efficient-Model-Compression is a series of compression methods with no or little training data.
BinaryNetworks: Binary neural networks including AdaBin (ECCV22).
Distillation: Knowledge distillation methods including ManifoldKD (NeurIPS22) and VanillaKD (NeurIPS23).
Pruning: Network pruning methods including GAN-pruning (ICCV19), SCOP (NeurIPS20) and ManiDP (CVPR21).
Quantization: Model quantization methods including DynamicQuant (CVPR22).
Self-supervised: self-supervised learning including FastMIM and LocalMIM (CVPR23).
TrainingAcceleration: Accelerating neural network training via NetworkExpansion (CVPR23).
Detection: Efficient object detectors including Gold-YOLO (NeurIPS23).