Prototype augmentation and self-supervision for incremental learning

F Zhu, XY Zhang, C Wang, F Yin… - Proceedings of the …, 2021 - openaccess.thecvf.com
Despite the impressive performance in many individual tasks, deep neural networks suffer
from catastrophic forgetting when learning new tasks incrementally. Recently, various …

[PDF][PDF] Prototype Augmentation and Self-Supervision for Incremental Learning

F Zhu, XY Zhang, C Wang, F Yin, CL Liu - openreview.net
Despite the impressive performance in many individual tasks, deep neural networks suffer
from catastrophic forgetting when learning new tasks incrementally. Recently, various …

[PDF][PDF] Prototype Augmentation and Self-Supervision for Incremental Learning

F Zhu, XY Zhang, C Wang, F Yin, CL Liu - openaccess.thecvf.com
Despite the impressive performance in many individual tasks, deep neural networks suffer
from catastrophic forgetting when learning new tasks incrementally. Recently, various …

Prototype Augmentation and Self-Supervision for Incremental Learning

F Zhu, XY Zhang, C Wang, F Yin… - 2021 IEEE/CVF …, 2021 - ieeexplore.ieee.org
Despite the impressive performance in many individual tasks, deep neural networks suffer
from catastrophic forgetting when learning new tasks incrementally. Recently, various …

Prototype Augmentation and Self-Supervision for Incremental Learning

F Zhu, XY Zhang, C Wang, F Yin, CL Liu - 2021 IEEE/CVF …, 2021 - computer.org
Despite the impressive performance in many individual tasks, deep neural networks suffer
from catastrophic forgetting when learning new tasks incrementally. Recently, various …

[引用][C] Prototype Augmentation and Self-Supervision for Incremental Learning

F Zhu, XY Zhang, C Wang, F Yin, CL Liu - 2021 IEEE/CVF Conference …, 2021 - cir.nii.ac.jp
Prototype Augmentation and Self-Supervision for Incremental Learning | CiNii Research
CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …

[PDF][PDF] Prototype Augmentation and Self-Supervision for Incremental Learning

F Zhu, XY Zhang, C Wang, F Yin, CL Liu - researchgate.net
Despite the impressive performance in many individual tasks, deep neural networks suffer
from catastrophic forgetting when learning new tasks incrementally. Recently, various …