PinnedPublished inArtificial Intelligence in Plain EnglishImprove Segmentation Accuracy by Correcting for Gaps in PredictionsSilhouette mask segmentation mimics the clinician’s annotation approachDec 20, 2020Dec 20, 2020
PinnedPublished inTowards AIApplication of Uncertainty Modeling to Face RecognitionAn facial recognition algorithm that effectively mitigates the negative impact of dirty samples during model trainingDec 3, 2020Dec 3, 2020
Published inAIメディカルサービスBottleneck TransformerSelf attentionをResNetに組み込んだTransformerJul 7, 2021Jul 7, 2021
Published inGeek CultureGastric Histopathology Image Classification by Transformer, GasHis-TransformerCNN and Transformer Fusion for Gastric Histopathology Image Classification with Few False Negatives and False PositiveJun 21, 2021Jun 21, 2021
Published inAIメディカルサービスTransformerによる胃組織病理画像分類,GasHis-TransformerCNNとTransformerの融合で偽陰性の少ない胃組織病理学的画像分類を実現Jun 20, 2021Jun 20, 2021
Published inAIメディカルサービス[Transformer &物体検知] You Only Look at One Sequence (YOLOS)画像識別タスクで事前学習したTransformerを物体検出タスクに転移学習ができる!?Jun 9, 2021Jun 9, 2021
Published inAIメディカルサービス[論文紹介] GANを使用しない効果的なドメイン適応教師なしドメイン適応,ソース分布とターゲット分布間の不一致を低周波スペクトル交換で減少May 26, 2021May 26, 2021
Published inTowards AIA Useful New Image Classification Method That Uses neither CNNs nor Attention[Paper summury] MLP-mixMay 19, 2021May 19, 2021
Published inAIメディカルサービス[論文紹介] MLP-Mixer: An all-MLP Architecture for VisionCNNもAttentionも使わない有用な画像分類手法May 19, 2021May 19, 2021