Sim2world: few-shot domain adaptation for object detection
Advancements in Digital Tower Technology offer significant benefits to air traffic control and airport operations and management. Object detection models play a key role in identifying various aircraft, objects, vehicles, and personnel in the airport environment using visual data such as surveillanc...
Saved in:
Main Author: | Minn Set Moe Hein |
---|---|
Other Authors: | Sameer Alam |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/177717 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Assemble new object detector with few examples
by: Yang, K., et al.
Published: (2013) -
OW-Mamba: Mamba for open world object detection
by: Sun, Heyuan
Published: (2024) -
FEW-SHOT IMAGE RECOGNITION AND OBJECT DETECTION
by: LI YITING
Published: (2023) -
PNPDet : efficient few-shot detection without forgetting via Plug-and-Play sub-networks
by: Zhang, Gongjie, et al.
Published: (2021) -
Meta-Transfer Learning for Few-Shot Learning
by: Qianru Sun, et al.
Published: (2020)