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

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"

18 / 18 papers shown

Title
Sequential Learning in the Dense Associative Memory Hayden McAlister Anthony Robins Lech Szymanski CLL 163 1 0 24 Sep 2024
Lifelong Person Search Jae-Won Yang Seungbin Hong Jae-Young Sim CLL 32 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 44 6 0 18 Apr 2024
Defending Against Unforeseen Failure Modes with Latent Adversarial Training Stephen Casper Lennart Schulze Oam Patel Dylan Hadfield-Menell AAML 57 28 0 08 Mar 2024
Eight Methods to Evaluate Robust Unlearning in LLMs Aengus Lynch Phillip Guo Aidan Ewart Stephen Casper Dylan Hadfield-Menell ELM MU 42 57 0 26 Feb 2024
Effects of Architectures on Continual Semantic Segmentation Tobias Kalb Niket Ahuja Jingxing Zhou Jürgen Beyerer CLL 34 3 0 21 Feb 2023
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation Fabio Cermelli Matthieu Cord Arthur Douillard CLL VLM 32 20 0 25 Nov 2022
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning James Smith Leonid Karlinsky V. Gutta Paola Cascante-Bonilla Donghyun Kim Assaf Arbelle Yikang Shen Rogerio Feris Z. Kira CLL VPVLM VLM 37 260 0 23 Nov 2022
Delving into Transformer for Incremental Semantic Segmentation Zekai Xu Mingying Zhang Jiayue Hou Xing Gong Chuan Wen Chengjie Wang Junge Zhang CLL 24 1 0 18 Nov 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning Yabin Wang Zhiwu Huang Xiaopeng Hong CLL VLM 27 210 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 23 2 0 14 Jul 2022
Continual Learning with Transformers for Image Classification Beyza Ermis Giovanni Zappella Martin Wistuba Aditya Rawal Cédric Archambeau CLL 41 21 0 28 Jun 2022
Continual Object Detection: A review of definitions, strategies, and challenges Angelo G. Menezes Gustavo de Moura Cézanne Alves André C. P. L. F. de Carvalho ObjD 63 51 0 30 May 2022
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials Chuqiao Li Zhiwu Huang D. Paudel Yabin Wang Mohamad Shahbazi Xiaopeng Hong Luc Van Gool 25 48 0 11 May 2022
Simpler is Better: off-the-shelf Continual Learning Through Pretrained Backbones Francesco Pelosin VLM 16 11 0 03 May 2022
Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization Francesco Pelosin Saurav Jha A. Torsello Bogdan Raducanu Joost van de Weijer CLL 23 28 0 24 Mar 2022
Memory Efficient Continual Learning with Transformers Beyza Ermis Giovanni Zappella Martin Wistuba Aditya Rawal Cédric Archambeau CLL 26 42 0 09 Mar 2022
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang Chunyan Miao Xiansheng Hua Hanwang Zhang CML 176 175 0 02 Mar 2021