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Academic literature on the topic 'Depth-wise convolution'
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Journal articles on the topic "Depth-wise convolution"
Hossain, Syed Mohammad Minhaz, Kaushik Deb, Pranab Kumar Dhar, and Takeshi Koshiba. "Plant Leaf Disease Recognition Using Depth-Wise Separable Convolution-Based Models." Symmetry 13, no. 3 (2021): 511. http://dx.doi.org/10.3390/sym13030511.
Full textKim, Daehee, Juhee Kang, and Jaekoo Lee. "Lightweighting of Super-Resolution Model Using Depth-Wise Separable Convolution." Journal of Korean Institute of Communications and Information Sciences 46, no. 4 (2021): 591–97. http://dx.doi.org/10.7840/kics.2021.46.4.591.
Full textZhang, Ke, Ken Cheng, Jingjing Li, and Yuanyuan Peng. "A Channel Pruning Algorithm Based on Depth-Wise Separable Convolution Unit." IEEE Access 7 (2019): 173294–309. http://dx.doi.org/10.1109/access.2019.2956976.
Full textSiddiqua, Shahzia, Naveena Chikkaguddaiah, Sunilkumar S. Manvi, and Manjunath Aradhya. "AksharaNet: A GPU Accelerated Modified Depth-Wise Separable Convolution for Kannada Text Classification." Revue d'Intelligence Artificielle 35, no. 2 (2021): 145–52. http://dx.doi.org/10.18280/ria.350206.
Full textChao, Xiaofei, Xiao Hu, Jingze Feng, Zhao Zhang, Meili Wang, and Dongjian He. "Construction of Apple Leaf Diseases Identification Networks Based on Xception Fused by SE Module." Applied Sciences 11, no. 10 (2021): 4614. http://dx.doi.org/10.3390/app11104614.
Full textKate, Vandana, and Pragya Shukla. "Breast Cancer Image Multi-Classification Using Random Patch Aggregation and Depth-Wise Convolution based Deep-Net Model." International Journal of Online and Biomedical Engineering (iJOE) 17, no. 01 (2021): 83. http://dx.doi.org/10.3991/ijoe.v17i01.18513.
Full textDang, Lanxue, Peidong Pang, and Jay Lee. "Depth-Wise Separable Convolution Neural Network with Residual Connection for Hyperspectral Image Classification." Remote Sensing 12, no. 20 (2020): 3408. http://dx.doi.org/10.3390/rs12203408.
Full text商, 丽娟. "Super-Resolution Reconstruction Algorithm for Cross-Module Based on Depth-Wise Separable Convolution." Journal of Image and Signal Processing 07, no. 02 (2018): 96–104. http://dx.doi.org/10.12677/jisp.2018.72011.
Full textHuang, Gangjin, Yuanliang Zhang, and Jiayu Ou. "Transfer remaining useful life estimation of bearing using depth-wise separable convolution recurrent network." Measurement 176 (May 2021): 109090. http://dx.doi.org/10.1016/j.measurement.2021.109090.
Full textCho, Sung In, Jae Hyeon Park, and Suk-Ju Kang. "A Generative Adversarial Network-Based Image Denoiser Controlling Heterogeneous Losses." Sensors 21, no. 4 (2021): 1191. http://dx.doi.org/10.3390/s21041191.
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