Light-Weight RetinaNet for Object Detection

Object detection has gained great progress driven by the development of deep learning. Compared with a widely studied task – classification, generally speaking, object detection even need one or two orders of magnitude more FLOPs (floating point operations) in processing the inference task.

Data and Resources

Cite this as

Y. Li, F. Ren (2024). Dataset: Light-Weight RetinaNet for Object Detection. https://doi.org/10.57702/0eoa9msy

DOI retrieved: December 3, 2024

Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Author Y. Li
More Authors
F. Ren
Homepage https://github.com/PSCLab-ASU/LW-RetinaNet