Self-Supervised Features Improve Open-World Learning

Self-Supervised Features Improve Open-World Learning

15 February 2021

Jonathan Schwan

Mohsen Jafarzadeh

Terrance E. Boult

Papers citing "Self-Supervised Features Improve Open-World Learning"

9 / 9 papers shown

Title
Human Activity Recognition in an Open World D. Prijatelj Samuel Grieggs Jin Huang Dawei Du Ameya Shringi Christopher Funk Adam Kaufman Eric Robertson Walter J. Scheirer University of Notre Dame 60 3 0 17 Jan 2025
Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Y. Ranasinghe Vibashan Vs James Uplinger C. D. Melo Vishal M. Patel 34 0 0 13 Jan 2025
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning Dipam Goswami Yuyang Liu Bartlomiej Twardowski Joost van de Weijer CLL 21 52 0 25 Sep 2023
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning Grégoire Petit Adrian Daniel Popescu Hugo Schindler David Picard Bertrand Delezoide CLL 14 111 0 23 Nov 2022
PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning Grégoire Petit Adrian Daniel Popescu Eden Belouadah David Picard Bertrand Delezoide CLL 29 1 0 14 Sep 2022
Self-Supervision Can Be a Good Few-Shot Learner Yuning Lu Liangjiang Wen Jianzhuang Liu Yajing Liu Xinmei Tian SSL 12 37 0 19 Jul 2022
A Review of Open-World Learning and Steps Toward Open-World Learning Without Labels Mohsen Jafarzadeh A. Dhamija Steve Cruz Chunchun Li T. Ahmad Terrance E. Boult VLM OffRL 9 9 0 25 Nov 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020
Boosting Self-Supervised Learning via Knowledge Transfer M. Noroozi Ananth Vinjimoor Paolo Favaro Hamed Pirsiavash SSL 207 291 0 01 May 2018