Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are Better Continual Learners

13 January 2022

Papers citing "Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are Better Continual Learners"

7 / 7 papers shown

Title
Sequential Learning in the Dense Associative Memory Hayden McAlister Anthony Robins Lech Szymanski CLL 71 1 0 24 Sep 2024
Lifelong Person Search Jae-Won Yang Seungbin Hong Jae-Young Sim CLL 28 0 0 31 Jul 2024
Adaptive Memory Replay for Continual Learning James Seale Smith Lazar Valkov Shaunak Halbe V. Gutta Rogerio Feris Z. Kira Leonid Karlinsky 29 6 0 18 Apr 2024
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning Yabin Wang Zhiwu Huang Xiaopeng Hong CLL VLM 15 208 0 26 Jul 2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network Guimei Cao Zhanzhan Cheng Yunlu Xu Duo Li Shiliang Pu Yi Niu Fei Wu CLL 15 2 0 14 Jul 2022
Memory Efficient Continual Learning with Transformers B. Ermiş Giovanni Zappella Martin Wistuba Aditya Rawal Cédric Archambeau CLL 19 42 0 09 Mar 2022
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang C. Miao Xiansheng Hua Hanwang Zhang CML 172 174 0 02 Mar 2021