Следене
Linus Ericsson
Linus Ericsson
Потвърден имейл адрес: ed.ac.uk - Начална страница
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Позовавания
Позовавания
Година
How Well Do Self-Supervised Models Transfer?
L Ericsson, H Gouk, TM Hospedales
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2522021
Self-supervised representation learning: Introduction, advances, and challenges
L Ericsson, H Gouk, CC Loy, TM Hospedales
IEEE Signal Processing Magazine 39 (3), 42-62, 2022
2212022
Why Do Self-Supervised Models Transfer? On the Impact of Invariance on Downstream Tasks
L Ericsson, H Gouk, TM Hospedales
The 33rd British Machine Vision Conference, 2022, 509, 2022
33*2022
Parameter-efficient fine-tuning for medical image analysis: The missed opportunity
R Dutt, L Ericsson, P Sanchez, SA Tsaftaris, T Hospedales
arXiv preprint arXiv:2305.08252, 2023
112023
Better Practices for Domain Adaptation
L Ericsson, D Li, T Hospedales
International Conference on Automated Machine Learning, 4/1-25, 2023
22023
Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations
C Eastwood, J von Kügelgen, L Ericsson, D Bouchacourt, P Vincent, ...
arXiv preprint arXiv:2311.08815, 2023
22023
Region Proposal Network Pre-Training Helps Label-Efficient Object Detection
L Ericsson, N Dong, Y Yang, A Leonardis, S McDonagh
arXiv preprint arXiv:2211.09022, 2022
12022
Label-efficient object detection via region proposal network pre-training
N Dong, L Ericsson, Y Yang, A Leonardis, S McDonagh
Neurocomputing 577, 127376, 2024
2024
Self-Supervised Learning for Transferable Representations
L Ericsson
The University of Edinburgh, 2024
2024
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