Learning to recognize objects by adaptive knowledge transfer
When humans learn new knowledge and skills, we can naturally transfer them to other domains. Along with the learning procedures, we learn knowledge and skills for certain tasks and transfer them to similar tasks; we also can use the old knowledge to facilitate the learning of new knowledge. While ef...
Saved in:
Main Author: | Tao, Qingyi |
---|---|
Other Authors: | Chen Change Loy |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/151507 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Contrastive knowledge transfer from CLIP for open vocabulary object detection
by: Zhang, Chuhan
Published: (2023) -
Deep learning for style and domain transfer
by: Ni, Anqi
Published: (2022) -
Embodied object hunt
by: Yeo, Zhi Hong
Published: (2020) -
Real-world object detection
by: Zang, Yuhang
Published: (2023) -
Object detection from satellite imagery
by: Seah, Yi Xuan
Published: (2020)