More Like this

1. H-CNN: Spatial Hashing Based CNN for 3D Shape Analysis

   https://doi.org/10.1109/TVCG.2018.2887262  

   Shao, Tianjia; Yang, Yin; Weng, Yanlin; Hou, Qiming; Zhou, Kun (July 2020, IEEE Transactions on Visualization and Computer Graphics)
2. DC-CNN: Computational Flow Redefinition for Efficient CNN through Structural Decoupling

   https://doi.org/10.23919/DATE48585.2020.9116429  

   Yu, Fuxun; Qin, Zhuwei; Wang, Di; Xu, Ping; Liu, Chenchen; Tian, Zhi; Chen, Xiang (March 2020, 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE))
3. Demonstration of Krypton: optimized CNN inference for occlusion-based deep CNN explanations

   https://doi.org/10.14778/3352063.3352093  

   Ordookhanians, Allen; Li, Xin; Nakandala, Supun; Kumar, Arun (August 2019, Proceedings of the VLDB Endowment)
4. Class-Discriminative CNN Compression

   https://doi.org/10.1109/ICPR56361.2022.9956066  

   Liu, Yuchen; Wentzlaff, David; Kung, S. Y. (August 2022, Proceedings of the International Conference on Pattern Recognition)
5. A Phenology-guided Bayesian-CNN (PB-CNN) framework for soybean yield estimation and uncertainty analysis

   https://doi.org/10.1016/j.isprsjprs.2023.09.025  

   Zhang, Chishan; Diao, Chunyuan (November 2023, ISPRS Journal of Photogrammetry and Remote Sensing)