cnn-compression
There are 5 repositories under cnn-compression topic.
ivclab/NeuralMerger
Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee, Chih-Yi Chiu, Chu-Song Chen, "Unifying and Merging Well-trained Deep Neural Networks for Inference Stage," International Joint Conference on Artificial Intelligence (IJCAI), 2018
TaehyeonKim-pyomu/CNN_compression_rank_selection_BayesOpt
Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access
K0EKJE/CNN_compression_with_Tensor_Decomposition
Research in compressing convolutional layers of CNN with tensor decomposition
arassadin/cnn-compression
Compressing deep convolutional neural networks in visual emotion recognition / A.G. Rassadin, A.V. Savchenko
memgonzales/mirror-segmentation
Presented at the 2023 International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG 2023). Lightweight mirror segmentation CNN that uses an EfficientNet backbone, employs parallel convolutional layers to capture edge features, and applies filter pruning for model compression