CVPR2020論文サマリ

tag: transfer-learning

What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients

by: Rei Tamaru

Adversarial Example Transfer Learning

Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data

by: 岡本大和

Transfer Learning

Revisiting Knowledge Distillation via Label Smoothing Regularization

by: Hiroki Yamamoto

Knowledge Distillation Transfer Learning

Unsupervised Person Re-Identification via Multi-Label Classification

by: Masanori YANO

Unsupervised Learning Person Re-Identification Transfer Learning

Transferring Dense Pose to Proximal Animal Classes

by: Hiroaki Aizawa

Transfer Learning