Auto-Context R-CNN

Region-based convolutional neural networks (R-CNN) have largely dominated object detection. Operators defined on RoIs (Re-gion of Interests) play an important role in R-CNNs such as RoIPooling and RoIAlign. They all only utilize information inside RoIs for RoI prediction, even with their recent deformable extensions.

Data and Resources

Cite this as

Bo Li, Tianfu Wu, Lun Zhang, Rufeng Chu (2024). Dataset: Auto-Context R-CNN. https://doi.org/10.57702/73byovpm

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.1807.02842
Author Bo Li
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Tianfu Wu
Lun Zhang
Rufeng Chu
Homepage https://arxiv.org/abs/1704.08237