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Update README.md by adding a project using maskrcnn-benchmark #1163
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Thanks for your excellent work! @fmassa Based on this repository, we research on the object detectors without sampling heuristics (e.g., Focal Loss, GHM, Undersampling). The paper (https://arxiv.org/abs/1909.04868) and code (https://github.com/ChenJoya/sampling-free) have been released. Thank you again for maskrcnn-benchmark. It is a really simple, efficient, high performance object detection benchmark.
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Thanks for your excellent work! @fmassa
Based on this repository, we research on the object detectors without sampling heuristics (e.g., Focal Loss, GHM, Undersampling).
The paper (https://arxiv.org/abs/1909.04868) and code (https://github.com/ChenJoya/sampling-free) have been released. Thank you again for maskrcnn-benchmark. It is a really simple, efficient, high performance object detection benchmark.