June 07, 2022 article An FPGA-Based Energy-Efficient Reconfigurable Depthwise Separable Convolution Accelerator for Image Recognition IEEE Transactions on Circuits & Systems II Express Briefs DOI: 10.1109/tcsii.2022.3180553 OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 51 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access EDEA: Efficient Dual-Engine Accelerator for Depthwise Separable Convolution with Direct Data Transfer 2024 IEEE International System-on-Chip Conference (SOCC) conference-paper Computer Science Advanced Neural Network Applications Open access 7 citations A Unified and Energy-Efficient Depthwise Separable Convolution Accelerator 2024 IFIP advances in information and communication technology conference-paper Engineering Image Processing Techniques and Applications 0 citations 2 results References 0