Improving self-supervision in video representation learning
With the rapid advancement of deep learning techniques in computer vision, researchers have achieved high performance in video related downstream tasks such as action classification and action detection. However, a pressing issue in this field is the scarcity of labeled data. A video contains hundre...
Saved in:
Main Author: | Liu, Hualin |
---|---|
Other Authors: | Zhang Hanwang |
Format: | Thesis-Master by Research |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/152209 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Improving Disentangled Representation Learning for Gait Recognition using Group Supervision
by: Lingxiang Yao, et al.
Published: (2022) -
Deep self-supervised representation learning for free-hand sketch
by: Xu, Peng, et al.
Published: (2022) -
Self-supervised learning for multi-person pose estimation and tracking in videos
by: Tan, Jia Min
Published: (2023) -
Self-supervised and supervised contrastive learning
by: Tan, Alvin De Jun
Published: (2023) -
Learning visual representations without human supervision
by: Xie, Jiahao
Published: (2023)