2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2023
Large-scale pretraining on pathological images for fine-tuning of small pathological benchmarks
Masataka Kawai, Noriaki Ota, Shinsuke Yamaoka
Pretraining a deep learning model on large image datasets is a standard step before fine-tuning the model on small targeted datasets. The large dataset is usually general images (e…
cs.CV2022★ 2 cited
5th Place Solution to Kaggle Google Universal Image Embedding Competition
Noriaki Ota, Shingo Yokoi, Shinsuke Yamaoka
In this paper, we present our solution, which placed 5th in the kaggle Google Universal Image Embedding Competition in 2022. We use the ViT-H visual encoder of CLIP from the opencl…