Self-supervised and supervised contrastive learning
There has been a recent surge in the interest in contrastive learning due to its success in self-supervised learning for vision related tasks. The main goal of contrastive learning is to guide a model to learn an embedding space, where samples from the same class will be pulled closer together and s...
Saved in:
Main Author: | Tan, Alvin De Jun |
---|---|
Other Authors: | Yeo Chai Kiat |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/166289 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Interactive contrastive learning for self-supervised entity alignment
by: ZENG, Kaisheng, et al.
Published: (2022) -
Improving self-supervision in video representation learning
by: Liu, Hualin
Published: (2021) -
Effective action recognition with fully supervised and self-supervised methods
by: Cao, Haozhi
Published: (2021) -
Self-supervised deep learning for missing image predictions
by: Yeoh, Shun Bin
Published: (2023) -
Self-supervised learning for multi-person pose estimation and tracking in videos
by: Tan, Jia Min
Published: (2023)