qingzhouzhen opened a new issue #7820: Low accuracy of pvanet URL: https://github.com/apache/incubator-mxnet/issues/7820 I have changed a model which called pvanet from caffe [https://github.com/sanghoon/pva-faster-rcnn](https://github.com/sanghoon/pva-faster-rcnn), it is a implementation of the article by the author [https://arxiv.org/abs/1608.08021](https://arxiv.org/abs/1608.08021), my problem is why my accuracy is low than author's What I have done: 1 Implement the classification net: [https://github.com/qingzhouzhen/incubator-mxnet/blob/pvanet-e2e/example/image-classification/symbols/pvanet.py](https://github.com/qingzhouzhen/incubator-mxnet/blob/pvanet-e2e/example/image-classification/symbols/pvanet.py) 2 feed the classification to Faster R-CNN module: [https://github.com/qingzhouzhen/incubator-mxnet/blob/pvanet-e2e/example/rcnn/rcnn/symbol/symbol_pvanet.py](https://github.com/qingzhouzhen/incubator-mxnet/blob/pvanet-e2e/example/rcnn/rcnn/symbol/symbol_pvanet.py) Most job I have done is to atapt Faster-R-CNN, replace the vgg pre-trained model with pvanet pre-trained model, for details see #7786 Firstly the classification net pvanet's accuracy is 64.0%(70.6% as article) Secondly detection net (pvanet+rpn+rcnn)'s mAP is 59.37%(82.5% as article) I checked my net structure carefully to make it the same as author's implementation in caffe, is there anything I do wrong? ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
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