1 citations · 3 across the 9 of their papers we have counts for
9 papers
Reducing Catastrophic Forgetting in Online Class Incremental Learning Using Self-Distillation
Kotaro Nagata, Hiromu Ono, Kazuhiro Hotta
In continual learning, there is a serious problem of catastrophic forgetting, in which previous knowledge is forgotten when a model learns new tasks. Various methods have been prop…
Genetic Information Analysis of Age-Related Macular Degeneration Fellow Eye Using Multi-Modal Selective ViT
Yoichi Furukawa, Satoshi Kamiya, Yoichi Sakurada +2
In recent years, there has been significant development in the analysis of medical data using machine learning. It is believed that the onset of Age-related Macular Degeneration (A…
Gr-IoU: Ground-Intersection over Union for Robust Multi-Object Tracking with 3D Geometric Constraints
Keisuke Toida, Naoki Kato, Osamu Segawa +2
We propose a Ground IoU (Gr-IoU) to address the data association problem in multi-object tracking. When tracking objects detected by a camera, it often occurs that the same object…
Growing Deep Neural Network Considering with Similarity between Neurons
Taigo Sakai, Kazuhiro Hotta
Deep learning has excelled in image recognition tasks through neural networks inspired by the human brain. However, the necessity for large models to improve prediction accuracy in…
Lite-HRNet Plus: Fast and Accurate Facial Landmark Detection
Sota Kato, Kazuhiro Hotta, Yuhki Hatakeyama +1
Facial landmark detection is an essential technology for driver status tracking and has been in demand for real-time estimations. As a landmark coordinate prediction, heatmap-based…
DeformableFormer: Classification of Endoscopic Ultrasound Guided Fine Needle Biopsy in Pancreatic Diseases
Taiji Kurami, Takuya Ishikawa, Kazuhiro Hotta
Endoscopic Ultrasound-Fine Needle Aspiration (EUS-FNA) is used to examine pancreatic cancer. EUS-FNA is an examination using EUS to insert a thin needle into the tumor and collect…