Visual relationship detection
Current scene graph generation (SGG) models struggle to achieve accurate and effective visual relationship detections between objects in images due to the existence of severely biased training datasets. For instance, biased SGG models often predict trivial and uninformative relationships such as...
Saved in:
Main Author: | Lee, Xavier Eugene |
---|---|
Other Authors: | Hanwang Zhang |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/175285 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Visual relationship detection
by: Park, Kunyoung
Published: (2022) -
On exploring and visualizing conference relationship
by: Lim, Jia Xing.
Published: (2012) -
Visual relationship detection with contextual information
by: Li, Yugang, et al.
Published: (2021) -
Fusing semantics and motion state detection for robust visual SLAM
by: Singh, Gaurav, et al.
Published: (2024) -
Federated learning-powered visual object detection for safety monitoring
by: Liu, Yang, et al.
Published: (2024)