ACADSTAFF UGM
| Title | : | CoNet: Compact and Low-Cost CNN for Image Classification |
| Author | : |
Fattah Azzuhry Rahadian (1) Wahyono, Ph.D. (2) Prof. Drs. Agus Harjoko, M.Sc., Ph.D. (3) Jia-Ching Wang (4) Chien-Yao Wang (5) |
| Date | : | 20 2019 |
| Keyword | : | CoNet,CNN,Image Classification CoNet,CNN,Image Classification |
| Abstract | : | As the number of applications of Convolutional Neural Network increasing, the need for lightweight models to be able to run on embedded devices is also increasing. For that reason, a novel lightweight CNN is designed. Experiment on CIFAR-10 and CIFAR-100 shows that our method outperforms other state-of-the-art models with less parameters and FLOPs. |
| Group of Knowledge | : | |
| Level | : | Internasional |
| Status | : |
Published
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