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Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training

The proposed Dynamic R-CNN method for object detection, which adjusts the label assignment criteria and the shape of regression loss function based on the statistics of proposals during training.

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Cite this as

Hongkai Zhang, Hong Chang, Bingpeng Ma, Naiyan Wang, Xilin Chen (2024). Dataset: Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training. https://doi.org/10.57702/cgy0bfcb

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Author	Hongkai Zhang
More Authors	Hong Chang Bingpeng Ma Naiyan Wang Xilin Chen
Homepage	https://github.com/hkzhang95/DynamicRCNN