1 code implementation • 17 Jan 2020 • Jungkyu Lee, Taeryun Won, Tae Kwan Lee, Hyemin Lee, Geonmo Gu, Kiho Hong
Recent studies in image classification have demonstrated a variety of techniques for improving the performance of Convolutional Neural Networks (CNNs).
Ranked #1 on Fine-Grained Image Classification on SOP
Fine-Grained Image Classification Fine-Grained Visual Recognition +4
no code implementations • 27 Jul 2019 • Byungsoo Ko, Minchul Shin, Geonmo Gu, HeeJae Jun, Tae Kwan Lee, Youngjoon Kim
Many studies have been performed on metric learning, which has become a key ingredient in top-performing methods of instance-level image retrieval.
no code implementations • 31 Jul 2017 • Tae Kwan Lee, Wissam J. Baddar, Seong Tae Kim, Yong Man Ro
Our classification results on Multi-PIE dataset for facial expression recognition and CIFAR-10 dataset for object classification reveal that the compact CNN with the proposed logarithmic filter grouping scheme outperforms the same network with the uniform filter grouping in terms of accuracy and parameter efficiency.