Scaling object detection by transferring learning
More and more datasets have increased their size with enough class annotations. Although the classification datasets are easy to collect, a large number of bounding box annotations require significant human labor and it is time-consuming. Thus, the number of bounding box annotations are usually smal...
Saved in:
Main Author: | Liu, Yizheng |
---|---|
Other Authors: | Tan Yap Peng |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/140699 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Harnessing object detection for learning
by: Yap, Jinson
Published: (2019) -
Metallic object detection in inductive power transfer systems
by: Soo, Zong Jun
Published: (2022) -
Learning detector ensembles for object detection
by: Zhou, Chunluan
Published: (2018) -
Objective detection and scene understanding based on deep learning
by: Li, Zeyin
Published: (2022) -
Car-interior object detection using deep learning
by: Zhou, Yang
Published: (2023)