You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This question is more about bipartite matching than RT-DETR itself, but I hope it's not an issue.
RT-DETR uses bipartite matching, and from what I understand (please correct me if I'm wrong), bipartite matching issues one-to-one object detection which reduces overlapping by assigning one object to a portion of an image marked by the object's bounding box.
Does this mean RT-DETR will have issues in detecting two different objects with different classes which overlap?
For example, an RT-DETR model is trained to detect helmet and person objects. If the model is used to predict a picture of a person who's holding a helmet in front of their chest (which result in helmet overlapping with person). Will this trouble the model in detecting both helmet and person?
Thank you.
The text was updated successfully, but these errors were encountered:
This question is more about bipartite matching than RT-DETR itself, but I hope it's not an issue.
RT-DETR uses bipartite matching, and from what I understand (please correct me if I'm wrong), bipartite matching issues one-to-one object detection which reduces overlapping by assigning one object to a portion of an image marked by the object's bounding box.
Does this mean RT-DETR will have issues in detecting two different objects with different classes which overlap?
For example, an RT-DETR model is trained to detect helmet and person objects. If the model is used to predict a picture of a person who's holding a helmet in front of their chest (which result in helmet overlapping with person). Will this trouble the model in detecting both helmet and person?
Thank you.
The text was updated successfully, but these errors were encountered: