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
{{ message }}
This repository has been archived by the owner on Oct 9, 2023. It is now read-only.
Please consider porting more heads and backbones for object detection task.
Motivation
The number of heads and backbones for the task of object detection remains rather low in comparison to MMDetection.
Pitch
Introduce compatibility with new heads and backbones for object detection.
Alternatives
Additional context
Also, are there any plans to introduce solutions using transformer architecture, such as Swin Transformer, into this project, or is lightning-transformers meant particularly for this?
Hey @Nexer8 thanks for the feature request! More heads / backbones (including transformers) is definitely something we'd like to have. We tried to source backbones from MMdetection once before but found it to be too heavy a dependency for our testing , but this is something we should revisit 😃
any plans to add new heads and backbones for object detection? it seems that icevision is not maintained anymore.
mmdetection 3.0 has been released with the DINO model which has great performance on the COCO2017 dataset.
🚀 Feature
Please consider porting more heads and backbones for object detection task.
Motivation
The number of heads and backbones for the task of object detection remains rather low in comparison to MMDetection.
Pitch
Introduce compatibility with new heads and backbones for object detection.
Alternatives
Additional context
Also, are there any plans to introduce solutions using transformer architecture, such as Swin Transformer, into this project, or is lightning-transformers meant particularly for this?
Discussed in #1355.
The text was updated successfully, but these errors were encountered: