Topic: "cnn-compression"
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
Language: Python - Size: 18.5 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 20 - Forks: 3
K0EKJE/CNN_compression_with_Tensor_Decomposition
Research in compressing convolutional layers of CNN with tensor decomposition
Language: Python - Size: 992 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0
arassadin/cnn-compression
Compressing deep convolutional neural networks in visual emotion recognition / A.G. Rassadin, A.V. Savchenko
Language: Lua - Size: 1.37 MB - Last synced at: almost 2 years ago - Pushed at: almost 8 years ago - Stars: 5 - Forks: 2
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
Language: Python - Size: 197 MB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
