You're currently viewing an old version of this dataset. To see the current version, click here.

MatrixNets: A New Scale and Aspect Ratio Aware Architecture for Object Detection

Object detection is one of the most widely studied tasks in computer vision with many applications to tasks such as object tracking, instance segmentation, and image captioning.

Data and Resources

This dataset has no data

Cite this as

Abdullah Rashwan, Rishav Agarwal, Agastya Kalra, Pascal Poupart (2024). Dataset: MatrixNets: A New Scale and Aspect Ratio Aware Architecture for Object Detection. https://doi.org/10.57702/jjfy7elp

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Author	Abdullah Rashwan
More Authors	Rishav Agarwal Agastya Kalra Pascal Poupart
Homepage	https://github.com/arashwan/matrixnet