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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.

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Cite this as

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

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Additional Info

Field Value
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