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Implementation of ECCV20 paper: the devil is in classification: a simple framework for long-tail object detection and instance segmentation

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Bumps [numpy](https://github.com/numpy/numpy) from 1.16.4 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependencies

Bumps [opencv-python](https://github.com/skvark/opencv-python) from 4.1.0.25 to 4.2.0.32. Release notes Sourced from opencv-python's releases. 4.2.0.32 opencv-python: https://pypi.org/project/opencv-python/ opencv-contrib-python: https://pypi.org/project/opencv-contrib-python/ opencv-python-headless: https://pypi.org/project/opencv-python-headless/ opencv-contrib-python-headless: https://pypi.org/project/opencv-contrib-python-headless/ OpenCV version 4.2.0. Changes: macOS environment updated from xcode8.3...

dependencies

Hi, I use the pretrain_model in this Github repository to test mask_rcnn_r50_fpn_1x_lvis_agnostic, however, I get only very bad result, can you give some suggestion? ![image](https://user-images.githubusercontent.com/39671748/125805131-1a5a34a6-83a0-4833-b6ce-f78210600ec4.png)

Hi, I have a question about how to calculate the map upperbound. How to determine the classification score for each proposal in the RCNN stage and applied the score for...

Is is necessary to sample the validation set to be Long tailed? or we just directly use the original version?