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Scaling Object Detection by Transferring Classification Weights

License: MIT License

Dockerfile 0.89% Python 87.94% Shell 0.28% C++ 4.51% Cuda 6.38%
object-detection large-scale-learning computer-vision ae-wtn pytorch maskrcnn-benchmark pytorch-implementation transferring-classification-weights weight-transfer transfer-learning image-classfication detection-network faster-rcnn fasterrcnn faster-r-cnn faster-rcnn-resnet openimages-v4 openimages visual-genome visualgenome-dataset

ae-wtn's Issues

how to detect novel class with AE-WTN?

Hi, your work is so great! I have read your paper but I don't understand that how you can detect novel class with AE-WTN?
What's the process of regression and classification of novel class?

How to train the WTN model using the released code?

Hello, I read your paper and enjoy your proposed method solving partial-supervised object detection. Reading your released code, I cannot find the code about AE-WTN and the pre-trained CLN. I wonder to consult that how to train the WTN mode using the released code?

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