Benchmarking Federated Few-Shot Learning for Video-Based Action Recognition
Few-shot action recognition aims to train a model to classify actions in videos using only a few examples, known as “shots,” per action class. This learning approach is particularly useful but challenging due to the limited availability of labeled video data in practice. Althou...
Saved in:
| Main Authors: | Nguyen Anh Tu, Nartay Aikyn, Nursultan Makhanov, Assanali Abu, Kok-Seng Wong, Min-Ho Lee |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10804801/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Few-shot Named Entity Recognition via encoder and class intervention
by: Long Ding, et al.
Published: (2024-01-01) -
From laboratory to field: cross-domain few-shot learning for crop disease identification in the field
by: Sen Yang, et al.
Published: (2024-12-01) -
Human action recognition method based on multi-view semi-supervised ensemble learning
by: Shengnan CHEN, et al.
Published: (2021-06-01) -
A Few-Shot Learning-Based Material Recognition Scheme Using Smartphones
by: Yeonju Kim, et al.
Published: (2025-01-01) -
Few-Shot Object Detection via Sample Processing
by: Honghui Xu, et al.
Published: (2021-01-01)