Search

Results 141-150 of 446 (Search time: 0.006 seconds).

  • Banseok Shin
  • 2023
  • Banseok Shin. (2023). On the Improvement of Hardware Utilization of Sparse GEMM Accelerators. doi: 10.22677/THESIS.200000657310
  • DGIST
  • View : 411
  • Download : 0
  • Jaegeun Park
  • 2023
  • Jaegeun Park. (2023). Remote Sensing Image Super-Resolution based on Siamese Networks with Cross Scale Non-Local Similarity for Segmentation of Buildings. doi: 10.22677/THESIS.200000655870
  • DGIST
  • View : 218
  • Download : 0
  • Jungeun Kim
  • 2023
  • Jungeun Kim. (2023). Performance Improvement of Camera Lane Detection Network Using Image Pre-processing and Polynomial Regression. doi: 10.22677/THESIS.200000659476
  • DGIST
  • View : 208
  • Download : 0
  • Changjae Kim
  • 2023
  • Changjae Kim. (2023). Unsupervised Domain Adaptation for Visual Perception in Various Environments. doi: 10.22677/THESIS.200000653655
  • DGIST
  • View : 185
  • Download : 0
  • Jeongyoon Wie
  • 2023
  • Jeongyoon Wie. (2023). An Energy-Efficient Wide-Supply-Range Stimulation System in Standard CMOS Process. doi: 10.22677/THESIS.200000656806
  • DGIST
  • View : 260
  • Download : 0
  • Soyeong Bae
  • 2023
  • Soyeong Bae. (2023). A PVT-Robust VCO-Based ADC for Bio-Potential Monitoring Systems. doi: 10.22677/THESIS.200000654607
  • DGIST
  • View : 360
  • Download : 0
  • Jinwoo Bae
  • 2023
  • Jinwoo Bae. (2023). A Study on the Generality of a DNN-Based Monocular Depth Estimation. doi: 10.22677/THESIS.200000653335
  • DGIST
  • View : 192
  • Download : 0
  • Hojin Kim
  • 2023
  • Hojin Kim. (2023). Video Instance Segmentation using Knowledge Distillation. doi: 10.22677/THESIS.200000653859
  • DGIST
  • View : 204
  • Download : 0
  • Hajin Jeon
  • 2023
  • Hajin Jeon. (2023). A Method for Rapid Design of High-quality Primers for PCR Experiments. doi: 10.22677/THESIS.200000653897
  • DGIST
  • View : 559
  • Download : 0
  • Kyungsu Lee
  • 2023
  • Kyungsu Lee. (2023). Fine-Tuning Deep Learning Network for Multi-Domain and Multi-Task Applications. doi: 10.22677/THESIS.200000655257
  • DGIST
  • View : 380
  • Download : 0