ノイジーラベルに頑健なクロスモーダル検索の研究成果と自己教師あり学習を用いた教師無しクロスモーダル検索の研究成果をAPSIPA ASC 2022で発表しました．
Fuga Nakamura, Ryosuke Harakawa, Masahiro Iwahashi, “SCQ: Self-Supervised Cross-Modal Quantization for Unsupervised Large-Scale Retrieval,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1-6, 2022.
Daiki Okamura, Ryosuke Harakawa, Masahiro Iwahashi, “LCN: Label Correction Based on Network Prediction for Cross-Modal Retrieval With Noisy Labels,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1-5, 2022.
